9 ms·

DALL-E for Playlists

200 points by mohsenari 4y ago

Natural language playlist is an AI tool that generates a Spotify playlist based on your prompt.

lanewinfield 4y ago
While the input box was super confusing (why does it build in?), the resulting playlist is pretty solid!
ddmma 4y ago
Definitely a feature to be enabled into Spotify. Kudos!
- babyshake 4y ago
  One thing I wish you could do with Spotify is adjust the temperature of its audo generated playlists. For a certain genre I might want the playlist to rely either more or less on the well known top songs in that genre versus more esoteric choices.
  - nlplaylist 4y ago
    Working on weighted averages for each song feature embedding. This might be the fix for that. Thinking about comparing the query embedding to sentences like "This query relates to musical genres" or "This query relates to the key and modality of songs" etc. This could be add importance to the "popularity" feature I have in my dataset for queries that contain words like "obscure" or "very popular". Just an idea right now, I'll get to it when I can!
michaelnoguera 4y ago
This is wonderful! - To see the playlist contents click on the name of the playlist in the Spotify embed on the results page. - To see all playlists generated by this tool: https://open.spotify.com/user/31wdezrlu36ttlv64lsslhow5fci/playlists https://open.spotify.com/user/31wdezrlu36ttlv64lsslhow5fci/p...
nickthegreek 4y ago
Pretty neat. Wish it could generate for other music services that arent Spotify though.
geph2021 4y ago
very cool idea, but the quality of results varied quite a bit. Example prompt: "Popular in Canada in 1995" Not a single Tragically Hip, Alanis Morissette, Sarah McLachlan! Although my prompt may be too nuanced, some of the example prompts seemed even more so.
- ipaddr 4y ago
  Wouldn't popular in Canada in 1995 be Nirvana/Pearl Jam/Cypress Hill/Sound Garden? You probably mean popular in canada in 1995 and is considered a Canadian band by the Canadian mainstream press. Which should be Weird Al, Moist, Our Lady Peace.. Tragically Hip was never popchart popular until the end. Sarah McLachlan was never mainstream popular until Lilith Fare
- nlplaylist 4y ago
  Don't have any geographic information in my dataset that's why. Thinking about finding song metadata for artists that contain information about their geographic location. Popular in 1995 should be working though, as I do have decade and year information.
nluken 4y ago
Neat idea for a project, and kudos for getting everything up and running! Tried it once or twice, and the results are very hit or miss. "70s african funk without synthesizers" includes some stuff that matches the prompt, like Ofo the Black Company, but also includes more misses than hits: Herbie Hancock, War, Prince, the Ohio Players, and Sly & The Family Stone are all American. Seems like it latched onto "funk" and really went for it there. It's fun to give the bot a more vague prompt and see where it goes though. Ultimately, my favorite musical "discoveries" have come from friend recommendations, or editorials like the Quietus or Bandcamp Daily. There's something about the social aspect of a personal recommendation that appeals to me, even if it's not as optimized as an algorithmic one. Many people don't have that sort of relationship with music though, so I could see something like this being pretty useful.
- clarge1120 4y ago
  I suspect the training was overfit to certain kinds of music. A bot that's fine tuned with "funk", "70's funk", and other similar music will produce better results.
- dr_orpheus 4y ago
  I also got the sense that when trying a prompt like this that it latched on to one or two parts of it. For my prompt of "upbeat rock with violins and bagpipes" most of the songs fell in to the "upbeat rock" or "rock with violins" (a lot of classic rock power ballads that came up here). Only one or two songs with bagpipes. I think there may be something about the popularity of songs and artists in the data because most are more popular and that may skew the results a bit because maybe my celtic rock bands don't fall in to the more popular categories. But still, kudos. The goal of it was to be able to find new music in a different way and it definitely got me there.
Reimersholme 4y ago
[dead]
bovermyer 4y ago
Surprisingly good prompt: Cyberpunk songs, driving beat, by Greg Rutkowski
evronm 4y ago
Well, it only gave me one song: "Internal Server Error". I searched for it on Spotify, but can't find it. Snark aside, great concept; looking forward to trying it when it comes back up.
- deleted 4y ago
  [deleted]
- jtvjan 4y ago
  I find it hard to believe that some indie techno band _hasn't_ made a song called "internal server error".
  - btown 4y ago
    https://open.spotify.com/track/2FF1ROYkhiRcU6zJSkBnBU https://open.spotify.com/track/2FF1ROYkhiRcU6zJSkBnBU is exactly what you're looking for
    - wizofaus 4y ago
      Courtesy of you know who... There are several songs that have been named after computer terminology, some examples include: "404" by The Notwist "Blue Screen of Death" by The Flashbulb "Error" by Depeche Mode "Fatal System Error" by Fear Factory "File Not Found" by John Foxx "HTTP Error 503" by The Postal Service "Kernel Panic" by The Faint "Server Error" by The Radio Company "System Error" by Covenant "404 Error" by The Algorithm I'm not actually convinced any of these songs really exist? There is an album "File Not Found" by "Division By Zero" though.
- clarge1120 4y ago
  Trying to imagine what the song "Internal Server Error" sounds like because when I typed that into Spotify it just repeated the same back to me. Then my screen bulged out with a screaming face. Then went back to normal. Weird.
- deleted 4y ago
  [deleted]
muhammadusman 4y ago
Please don't animate the input box.
- deleted 4y ago
  [deleted]
alhirzel 4y ago
Getting hugged too hard; great idea though! I tried a few times to get the following query through, saving it for later: "complex instrumental music like Plini or Nick Johnston with lots of melody and guitars"
xriddle 4y ago
was reading about this today https://www.lineup.supply/ https://www.lineup.supply/ and hoping for a non-apple version ... unfortunately all i got was the Internal Server Error... will check back later
- clarge1120 4y ago
  Quick. Release a song on Soundcloud called "Internal Server Error". Search traffic will mint you a hit in no time.
TOP-HACKER 4y ago
[flagged]
balls187 4y ago
Got an internal server error.
- wizofaus 4y ago
  For me... Something went wrong :-( Something went wrong while trying to load this site; please try again later. Debugging tips If this is your site, and you just reloaded it, then the problem might simply be that it hasn't loaded up yet. Try refreshing this page and see if this message disappears. If you keep getting this message, you should check your site's server and error logs for any messages. Error code: 502-backend
warkanlock 4y ago
Slashdot effect right now on the main servers
MurageKabui 4y ago
We broke it. Too much attention, I suspect.
raviparikh 4y ago
Neat idea–Spotify seems to be proliferating a massive amount of playlists for every conceivable mood, genre, decade, country, etc in an attempt to seemingly capture what this tool can do automatically. I think a lot of the Spotify "official" playlists are actually partially or completely algorithmically driven as well based on your personal listening history.
deleted 4y ago
[deleted]
nlplaylist 4y ago
OP HERE! Solved the hugging to death issue. Reached the Spotify 11k playlist limit. Deleting old playlists and the site should be working as intended now. THANK YOU whoever posted this! Currently working on: Fixing the recommendation scoring function. Right now it's giving hit or miss responses. I think the problem is with my cross encoder "reranker" is not doing its job the right way. I'll fix the passages it looks at when re ranking based on the query. Also getting rid of the input box animation, lol. I've gotten flack for that on Reddit too. You should have seen the old site. It still renders that HTML on mobile. Taking any and all questions!
- ddmma 4y ago
  Make this an Alexa skill
- jdminhbg 4y ago
  I’d love to know at a high level how you went about implementing this. Is it just using OpenAI’s built-in music knowledge? Did you do any of your own classification?
  - nlplaylist 4y ago
    TLDR: Lots of musical metadata converted into paragraphs and the SentenceTransformers Retrieve & Re-Rank Pipeline.(https://www.sbert.net/index.html https://www.sbert.net/index.html) The sentence embeddings are calculated using a Bidirectional Encoder Representation Transformer (BERT) model. There's a pre-trained model for this network trained on over 1 billion sentences from the internet that is publicly available, (thanks Microsoft) . The model transforms your description into a 784-long list of numbers (a vector) that represents the contextual meaning of your sentence. The model runs off a dataset of musical metadata for 35,000 songs. As a "chronically online music nerd", I knew where to find it. The metadata is very rich, it has a lot of useful columns like the genres, subgenres, and descriptions of tracks. The numerical data is binned into categorical values like "obscure" mapping popularity between 0 and 10, "highly danceable" mapping danceability between 80 and 100, etc. The text data is modified into a coherent sentence: "this song's main genres are _____. this song is from the 80s. this name of this song is lovefool by the cardigans. etc" An arduous part of the project was describing each musical genre in depth, with its own paragraph such that each genre's actual contextual meaning is captured and not just "This song is a Hyperpop song" or "This song is Adult Contemporary". It was a big exercise in music history and tested my knowledge of music. I also learned a lot about musical genres like "Mongolian Throat Singing" and how it compares to "Gamelan Throat Singing". I also put the song lyrics for each song through GPT-3 and asked it to summarize the lyrical themes. That's also embedded and used in NLPlaylist. Each feature for each song in our metadata dataset is now a big paragraph that describes the song. The paragraph is split up into sentences, and the embedding of each sentence is found. The final embedding for each song is then calculated by taking a weighted average over all sentence embeddings from the big paragraph and genre and lyrical embeddings. To make your playlist, all that has to be done is compare the embedding of your query all 35,000 embeddings in the dataset and return the 100 most similar queries, using the cosine similarity distance metric. Thank god we have computers. Once the 100 most similar candidate tracks are found, they are reranked using a "cross encoder" trained on 215M question-answer pairs from various sources and domains, including StackExchange, Yahoo Answers, Google & Bing search queries to give the best matches.
mustacheemperor 4y ago
This is great. I was a big fan of the beats music service's feature that let you 'mad lib' a sentence like "I am [singing along] [with my bff] [in the car] to [pop music]" and was always let down nothing similar appeared in competing services. This feels like the next step for that kind of feature. For about a year now I've been eagerly awaiting when this kind of thing will become available for streaming TV and movies. This christmas it really struck me how cool and convenient it would be to be able to ask a smart tv "Hey, throw on a mix of all the good Simpsons and Bob's Burgers holiday episodes." I can't imagine that's far away now, especially seeing this project! Honestly, I wouldn't be surprised if at this point the hardest challenge would be somehow launching between different services to specific programs, not building the playlist itself.
- nlplaylist 4y ago
  Thank you! I'm just a guy who loves music and sharing it with people. It's been my dream to build something like that. Hope you find some good tunes with my project!
  - ddmma 4y ago
    Hope you can get an Spotify job offer right away
  - logicallee 4y ago
    Hey! I sent you an email about a possible collaboration. Hope to hear from you :)
  - mustacheemperor 4y ago
    Just wanted to circle back and say some of my friends and I have been using this for our 'radio' at our desk on a daily basis and it's just awesome. The accuracy to the prompt isn't always 100% there, but I honestly like how much new music that's somewhat style-adjacent that kind of mismatch is introducing me to. Hopefully we aren't running up a giant bill on your GPU instances...let me start paying for this every month!
caseyf 4y ago
very cool! i generated a playlist and the first 3 songs were by the same band. I'm not sure how the tracks are ordered but some shuffling of the bands would be nice.
SomeoneOnTheWeb 4y ago
This is a great project! I tried with a complex prompt including lyrics quality and language and it worked perfectly! I'm really amazed. Would it be possible to release this project on Github/Gitlab so other people can host their own version and/or hack on it? I'd love to run this on my own instance and integrate it with some my personal projects.
theadultnerd 4y ago
Pretty sure that Modest Mouse doesn't belong on a playlist of "Riot Grrl Influenced bands with albums released after 2020." I like this idea though. https://open.spotify.com/playlist/5z5loSusnf9p5fRGzCIfk6 https://open.spotify.com/playlist/5z5loSusnf9p5fRGzCIfk6
swyx 4y ago
"[name redacted], Front-End Designer" idk if i'd call myself a designer with the app looking like that haha. not quite Spotify-level. but congrats on shipping, OP :)
- deleted 4y ago
  [deleted]
- alextechdev1988 4y ago
  Ha! Wasn’t meant to be up to par as Spotify, more as a fun project. Spotify uses React, which we will eventually implement. We didnt have time to completely replicate Spotify’s UI/UX.
oaththrowaway 4y ago
Back in the day there was a project called Tomahawk Player that tied into a service called Echo Nest (which I believe got purchased and shut down by Spotify). For me that was the peak of music discovery. I haven't been able to replicate it yet.
- Mattasher 4y ago
  Grooveshark (RIP) had the best music recommendation engine I've ever used.
  - odiroot 4y ago
    And also had probably best web UI for listening to music. RIP
  - zahrc 4y ago
    And listening together was also possible… man I miss grooveshark
- at_a_remove 4y ago
  AcousticBrainz and Echo Nest, both gone now. It seems like only Pandora's Music Genome is still functioning. I know this is a Hard Problem, but I also think it is a problem with a great deal of payoff. Art (music, movies, books, etc) is unique in that someone will very much want "more of the same" but not the exact same thing (the identical song). People want the same cheeseburger over and over again, but not the same bit of music. Being able to say "more of that" and actually get the right results back, rather than "more of what other people who liked that song liked" would be a huge boon, but so far, we just don't have the analysis to automate that kind of thing. It's also hard when it comes to identifying what features must be conserved. On Reddit, you'll get questions, say in the /r/horror subreddit, such as "I really liked May; more like this!" and I will ask, "More with Angela Bettis? More by director Lucky McKee? More about body parts? More where the lead undergoes some late stage transition from average to alluring? What, in particular, did you want more of?" You can sort of replicate this on Discogs by looking up band members and trying to hunt down later or earlier projects from them, but again, that's just a proxy for a particular quality.
nharada 4y ago
I love it, awesome job!
danso 4y ago
> I'm a Data Science grad student looking for a job in the music industry! Hire me! This is the perfect project to garner that kind of industry attention, hope it works out!
- deleted 4y ago
  [deleted]
SoftAnnaLee 4y ago
Honestly, I'm genuinely impressed. I even searched something that I would think would trip it up, "transgirl puppycore", and it managed to not only give several songs that are extremely on-point but likewise has a bunch of new and interesting music I never would have discovered otherwise. I genuinely can see this being an extremely useful tool for content discovery; and I really hope the major players will implement your work. Edit: A link to the playlist - https://open.spotify.com/playlist/03B6UoO679VGxQykFgpUSO?si=f6b2c45483af4f28 https://open.spotify.com/playlist/03B6UoO679VGxQykFgpUSO?si=...
- crdrost 4y ago
  I had more limited success :( Tried to use it to extend my Funky Christmas playlist (exemplars: James Brown’s “Soulful Christmas”, The Band’s “Christmas Must Be Tonight”, any “Lean On Me” but mine is by Music Travel Love, Train’s “Christmas Island”, Pomplamoose’s take on “Here we come a-caroling”, Twin Bandit’s “Rise Up Shepherd”)... So like I am not expecting it to get the full genre correct, because the genre is Christmas songs that can simultaneously sit in the background AND surprise you, it's Pat Monahan and he's singing a Christmas song and it's about how he's gonna do Christmas in a resort in Hawaii this year because eff the snow. Problem is that 90% of these results are not even debatably Christmas songs?
  - nlplaylist 4y ago
    I removed all Christmas songs after Christmas! That's probably the issue. The majority of problems people are seeing can be fixed by expanding the dataset.
zw123456 4y ago
Very cool work, good luck, hope you land a good job. I put in "Women Jazz Singers" Not bad, a bit heavy on Nina Simone and had Marvin Gaye, who was great but a dude. Nit picking really. Nice work :)
leonidasv 4y ago
I asked for a playlist of "how ADHD sounded like" and I can't be more impressed. I don't have ADHD myself but live with people that do and I think the playlist really captured some of the observed symptoms of the disorder in a musical way. But what I really found impressive is: searching for "ADHD playlists" in Spotify yields a lot of playlists with lo-fi music for deep focus, not the fast-paced, disorganized, hyperactive songs I got in the generated playlist. That means, the model is capable of discerning what the word "ADHD" means in a profound way, it's not just regurgitating songs that resemble "Spotify playlists with ADHD in their title". Very, very impressive. For the curious: https://open.spotify.com/playlist/3MSryXJ6F1n34JSIPe1iMA?si=13ef3af0cf624c15 https://open.spotify.com/playlist/3MSryXJ6F1n34JSIPe1iMA?si=...
- nullsense 4y ago
  It's missing the "I feel like crap because I got yelled at for the 1000th time by the same person for doing the same thing wrong" mixed with the anxiety of "I know from experience I can't avoid that happening again, but how I can I avoid that happening again?". The themes I can detect in the playlist itself are "I don't know quite what this is, but that itself is interesting, so my brain is just going to surf on that for a while", "nothing's going on, so I started daydreaming and my brain is in that comfortable relaxed happy place", and "oh oh oh, Yes yes yes! Mode"
barbazoo 4y ago
Love the idea!!!!! Tried a few softballs, not sure how accurate it is. Example: "Extremely popular pop rock from the early 1990s." [0] It's good music but I wouldn't say those were extremely popular in the 90s. Again, great work and I'll check it out for more obscure searches based on feeling rather than objective information. [0] https://open.spotify.com/playlist/4ALBHGIxhsspN793KXZq9k?go=1&sp_cid=6a19d240ab48fcc6657a3ce35f29f656&utm_source=embed_player_p&utm_medium=desktop https://open.spotify.com/playlist/4ALBHGIxhsspN793KXZq9k?go=...
Sohcahtoa82 4y ago
I wanted to find more "heavy metal with trance-like synthesizers" and didn't really get any good results. To give the perfect example of what I'm looking for, see Blood Stain Child - Stargazer: https://youtu.be/IjTXeJZM8wg https://youtu.be/IjTXeJZM8wg
- nlplaylist 4y ago
  Could be that a song like that simply doesn't exist in my current dataset of 35k tracks.
ryanSrich 4y ago
Here's the playlist it generated for "midwest emo songs that feel influenced by radiohead, but also seem a bit dream poppy" About as accurate as you could be I think. https://open.spotify.com/playlist/44vaFvFLaHvRi9aaYW2Iq1?go=1&sp_cid=c42f8e071a2b3fbb0c48713b64b82b4e&utm_source=embed_player_p&utm_medium=desktop&nd=1 https://open.spotify.com/playlist/44vaFvFLaHvRi9aaYW2Iq1?go=...
__alias 4y ago
I highly recommend everyone look through the other playlists on Spotify that the account also generates. Gives you an insight into the hilarious prompts others here are using
- mohsenari 4y ago
  I just took a glance and the playlists (aka prompts) are top laughter material.
  - ajmurmann 4y ago
    "Songs to play while I cheat on my boyfriend"
TheSpiceIsLife 4y ago
Detroit techno with sexy lyrics Track 8: Sandwiches
s1mon 4y ago
"Obscure dark techno from 1990 Berlin" yielded a playlist with a 2009 remaster of Kraftwerk. Kraftwerk is one of my favorite bands, but it's not obscure and it's not from 1990 Berlin. On the same list are a bunch of bands and songs which I would enjoy, but are not from Berlin nor from 1990. I also tried "Cover songs which are much more famous than the originals", and after spot checking the list, it seems to be originals - not covers. I gave the same prompts to ChatGPT. It wouldn't even try with the first prompt, but the second prompt yielded a decent list.
flobosg 4y ago
Music for high-level shitposting – https://open.spotify.com/playlist/3PRcPyTztdE3YJBjcsQnRk https://open.spotify.com/playlist/3PRcPyTztdE3YJBjcsQnRk Wrote the prompt as a joke but the end result is not bad at all!
impalallama 4y ago
i asked for "pop music to sing to while drunk" and the first couple songs were country songs about drinking so a bit hit or miss
egypturnash 4y ago
posting this here so I can see if this generated playlist is, indeed, "chock full of farts" when I have time to listen to some music later today if anyone listens to this before I get a chance, please weigh in on how farty you think this is https://open.spotify.com/playlist/088WOoTJQ5y2YradJpWAtc?go=1&sp_cid=d873503f9d652c31976e16f3e1576861&nd=1 https://open.spotify.com/playlist/088WOoTJQ5y2YradJpWAtc?go=...
thedudeabides5 4y ago
I put in "tech playa house definitely not dubstep" and it gave me dubstep But love the idea.
xxxxxxxx 4y ago
Congrats - this is awesome. I'm enjoying lots of new songs that got recommended.
LunarAurora 4y ago
Nice work ! So The OP said here that this is based on a “semantic” enhancing of an (already rich) 35k tracks DB. Music platforms in general do not allow people to describe/annotate tracks verbally (people would love to "let it out" !). The day they will decide to implement an NLP search similar to this, for up to 100 million tracks [1], they will regret it. Album reviews is the only "semantically rich" AND "widely used" music description I can think of. Last.fm has some interesting data on the finer track level (wiki, comments, tags), but it could have been way, way richer [1] https://www.apple.com/newsroom/2022/10/celebrating-100-million-songs/ https://www.apple.com/newsroom/2022/10/celebrating-100-milli...
ajmurmann 4y ago
I asked for "music that would convince anyone that the cello is three best instrument" and it couldn't be further from what I'd expect. Not a single song even has a cello in it. Maybe the absence use supposed to convince?
- nlplaylist 4y ago
  Don't have instrument specific data on songs. Wish I did. Was thinking about classification algorithm on song spectrograms to do this. There's a music instrument dataset I could train on and run my songs through. Could possibly take weeks though. I'll investigate.
vhiremath4 4y ago
Wow... I searched "ethereal progressive house to code to" and this playlist is amazing. https://open.spotify.com/playlist/1c384nZMHmWHJg5f9LjOD4?go=1&sp_cid=5324aefbe1d888e9f94fce153596d53b&utm_source=embed_player_p&utm_medium=desktop https://open.spotify.com/playlist/1c384nZMHmWHJg5f9LjOD4?go=...
skribanto 4y ago
Looks like a malicious actor is messing around with it... Hello I am testing my pentesting skills, please make a comment on your most recent reddit post and I will stop :) blah blah apple banana orange cucumber happy sad good bad filler words stars moon sun
Zababa 4y ago
Fun to play with, good job! I wonder if the exact opposite exist: give it a playlist, and it'll give you some kind of description for it. I always have a hard time answering "What kind of music do you listen to?", maybe AI could help.
DEN0MINAT0R 4y ago
To me it seems like the best matches for the prompt seem to show up towards the bottom of the playlist. Not sure if anyone else has noticed anything similar, or if it’s just coincidence.
alephaleph 4y ago
Through experimentation I have determined that this model has no idea what klezmer music is :(
- alephaleph 4y ago
  or the concept of sleep: https://open.spotify.com/playlist/3CRpqI4rd0wx8RndZA2dKr?si=A6v3v4MfTIymSdaYUqtU_Q https://open.spotify.com/playlist/3CRpqI4rd0wx8RndZA2dKr?si=...
sirspacey 4y ago
Really cool - I’m loving this playlist! “Radiohead with chillwave”
jtode 4y ago
I'm getting a 502 backend error. Looks to me like the site's currently loved to death, cause boy did I get excited at the title lol Setting a reminder to check it out in a couple days when things settle down, ya ravenous mob...
cainxinth 4y ago
Wow, I love it. Already made several running playlists that I will definitely use. Great work!
shineoncrazy 4y ago
I'm looking for a fast paced rock song, the refrain is sung by a woman, something like "[...] every beat, [...], blue, blue sky [...] ". She had a powerful, high-pitched voice. I had this song on my liked spotify list, then it suddenly disappeared. Can this tool find it for me?

200 points by mohsenari 4y ago

Natural language playlist is an AI tool that generates a Spotify playlist based on your prompt.

lanewinfield 4y ago

While the input box was super confusing (why does it build in?), the resulting playlist is pretty solid!

ddmma 4y ago

Definitely a feature to be enabled into Spotify. Kudos!

babyshake 4y ago
One thing I wish you could do with Spotify is adjust the temperature of its audo generated playlists. For a certain genre I might want the playlist to rely either more or less on the well known top songs in that genre versus more esoteric choices.
- nlplaylist 4y ago
  Working on weighted averages for each song feature embedding. This might be the fix for that. Thinking about comparing the query embedding to sentences like "This query relates to musical genres" or "This query relates to the key and modality of songs" etc. This could be add importance to the "popularity" feature I have in my dataset for queries that contain words like "obscure" or "very popular". Just an idea right now, I'll get to it when I can!

michaelnoguera 4y ago

This is wonderful! - To see the playlist contents click on the name of the playlist in the Spotify embed on the results page. - To see all playlists generated by this tool: https://open.spotify.com/user/31wdezrlu36ttlv64lsslhow5fci/playlists https://open.spotify.com/user/31wdezrlu36ttlv64lsslhow5fci/p...

nickthegreek 4y ago

Pretty neat. Wish it could generate for other music services that arent Spotify though.

geph2021 4y ago

very cool idea, but the quality of results varied quite a bit. Example prompt: "Popular in Canada in 1995" Not a single Tragically Hip, Alanis Morissette, Sarah McLachlan! Although my prompt may be too nuanced, some of the example prompts seemed even more so.

ipaddr 4y ago
Wouldn't popular in Canada in 1995 be Nirvana/Pearl Jam/Cypress Hill/Sound Garden? You probably mean popular in canada in 1995 and is considered a Canadian band by the Canadian mainstream press. Which should be Weird Al, Moist, Our Lady Peace.. Tragically Hip was never popchart popular until the end. Sarah McLachlan was never mainstream popular until Lilith Fare
nlplaylist 4y ago
Don't have any geographic information in my dataset that's why. Thinking about finding song metadata for artists that contain information about their geographic location. Popular in 1995 should be working though, as I do have decade and year information.

nluken 4y ago

Neat idea for a project, and kudos for getting everything up and running! Tried it once or twice, and the results are very hit or miss. "70s african funk without synthesizers" includes some stuff that matches the prompt, like Ofo the Black Company, but also includes more misses than hits: Herbie Hancock, War, Prince, the Ohio Players, and Sly & The Family Stone are all American. Seems like it latched onto "funk" and really went for it there. It's fun to give the bot a more vague prompt and see where it goes though. Ultimately, my favorite musical "discoveries" have come from friend recommendations, or editorials like the Quietus or Bandcamp Daily. There's something about the social aspect of a personal recommendation that appeals to me, even if it's not as optimized as an algorithmic one. Many people don't have that sort of relationship with music though, so I could see something like this being pretty useful.

clarge1120 4y ago
I suspect the training was overfit to certain kinds of music. A bot that's fine tuned with "funk", "70's funk", and other similar music will produce better results.
dr_orpheus 4y ago
I also got the sense that when trying a prompt like this that it latched on to one or two parts of it. For my prompt of "upbeat rock with violins and bagpipes" most of the songs fell in to the "upbeat rock" or "rock with violins" (a lot of classic rock power ballads that came up here). Only one or two songs with bagpipes. I think there may be something about the popularity of songs and artists in the data because most are more popular and that may skew the results a bit because maybe my celtic rock bands don't fall in to the more popular categories. But still, kudos. The goal of it was to be able to find new music in a different way and it definitely got me there.

Reimersholme 4y ago

[dead]

bovermyer 4y ago

Surprisingly good prompt: Cyberpunk songs, driving beat, by Greg Rutkowski

evronm 4y ago

Well, it only gave me one song: "Internal Server Error". I searched for it on Spotify, but can't find it. Snark aside, great concept; looking forward to trying it when it comes back up.

deleted 4y ago
[deleted]
jtvjan 4y ago
I find it hard to believe that some indie techno band _hasn't_ made a song called "internal server error".
- btown 4y ago
  https://open.spotify.com/track/2FF1ROYkhiRcU6zJSkBnBU https://open.spotify.com/track/2FF1ROYkhiRcU6zJSkBnBU is exactly what you're looking for
  - wizofaus 4y ago
    Courtesy of you know who... There are several songs that have been named after computer terminology, some examples include: "404" by The Notwist "Blue Screen of Death" by The Flashbulb "Error" by Depeche Mode "Fatal System Error" by Fear Factory "File Not Found" by John Foxx "HTTP Error 503" by The Postal Service "Kernel Panic" by The Faint "Server Error" by The Radio Company "System Error" by Covenant "404 Error" by The Algorithm I'm not actually convinced any of these songs really exist? There is an album "File Not Found" by "Division By Zero" though.
clarge1120 4y ago
Trying to imagine what the song "Internal Server Error" sounds like because when I typed that into Spotify it just repeated the same back to me. Then my screen bulged out with a screaming face. Then went back to normal. Weird.
deleted 4y ago
[deleted]

muhammadusman 4y ago

Please don't animate the input box.

deleted 4y ago
[deleted]

alhirzel 4y ago

Getting hugged too hard; great idea though! I tried a few times to get the following query through, saving it for later: "complex instrumental music like Plini or Nick Johnston with lots of melody and guitars"

xriddle 4y ago

was reading about this today https://www.lineup.supply/ https://www.lineup.supply/ and hoping for a non-apple version ... unfortunately all i got was the Internal Server Error... will check back later

clarge1120 4y ago
Quick. Release a song on Soundcloud called "Internal Server Error". Search traffic will mint you a hit in no time.

TOP-HACKER 4y ago

[flagged]

balls187 4y ago

Got an internal server error.

wizofaus 4y ago
For me... Something went wrong :-( Something went wrong while trying to load this site; please try again later. Debugging tips If this is your site, and you just reloaded it, then the problem might simply be that it hasn't loaded up yet. Try refreshing this page and see if this message disappears. If you keep getting this message, you should check your site's server and error logs for any messages. Error code: 502-backend

warkanlock 4y ago

Slashdot effect right now on the main servers

MurageKabui 4y ago

We broke it. Too much attention, I suspect.

raviparikh 4y ago

Neat idea–Spotify seems to be proliferating a massive amount of playlists for every conceivable mood, genre, decade, country, etc in an attempt to seemingly capture what this tool can do automatically. I think a lot of the Spotify "official" playlists are actually partially or completely algorithmically driven as well based on your personal listening history.

deleted 4y ago

[deleted]

nlplaylist 4y ago

OP HERE! Solved the hugging to death issue. Reached the Spotify 11k playlist limit. Deleting old playlists and the site should be working as intended now. THANK YOU whoever posted this! Currently working on: Fixing the recommendation scoring function. Right now it's giving hit or miss responses. I think the problem is with my cross encoder "reranker" is not doing its job the right way. I'll fix the passages it looks at when re ranking based on the query. Also getting rid of the input box animation, lol. I've gotten flack for that on Reddit too. You should have seen the old site. It still renders that HTML on mobile. Taking any and all questions!

ddmma 4y ago
Make this an Alexa skill
jdminhbg 4y ago
I’d love to know at a high level how you went about implementing this. Is it just using OpenAI’s built-in music knowledge? Did you do any of your own classification?
- nlplaylist 4y ago
  TLDR: Lots of musical metadata converted into paragraphs and the SentenceTransformers Retrieve & Re-Rank Pipeline.(https://www.sbert.net/index.html https://www.sbert.net/index.html) The sentence embeddings are calculated using a Bidirectional Encoder Representation Transformer (BERT) model. There's a pre-trained model for this network trained on over 1 billion sentences from the internet that is publicly available, (thanks Microsoft) . The model transforms your description into a 784-long list of numbers (a vector) that represents the contextual meaning of your sentence. The model runs off a dataset of musical metadata for 35,000 songs. As a "chronically online music nerd", I knew where to find it. The metadata is very rich, it has a lot of useful columns like the genres, subgenres, and descriptions of tracks. The numerical data is binned into categorical values like "obscure" mapping popularity between 0 and 10, "highly danceable" mapping danceability between 80 and 100, etc. The text data is modified into a coherent sentence: "this song's main genres are _____. this song is from the 80s. this name of this song is lovefool by the cardigans. etc" An arduous part of the project was describing each musical genre in depth, with its own paragraph such that each genre's actual contextual meaning is captured and not just "This song is a Hyperpop song" or "This song is Adult Contemporary". It was a big exercise in music history and tested my knowledge of music. I also learned a lot about musical genres like "Mongolian Throat Singing" and how it compares to "Gamelan Throat Singing". I also put the song lyrics for each song through GPT-3 and asked it to summarize the lyrical themes. That's also embedded and used in NLPlaylist. Each feature for each song in our metadata dataset is now a big paragraph that describes the song. The paragraph is split up into sentences, and the embedding of each sentence is found. The final embedding for each song is then calculated by taking a weighted average over all sentence embeddings from the big paragraph and genre and lyrical embeddings. To make your playlist, all that has to be done is compare the embedding of your query all 35,000 embeddings in the dataset and return the 100 most similar queries, using the cosine similarity distance metric. Thank god we have computers. Once the 100 most similar candidate tracks are found, they are reranked using a "cross encoder" trained on 215M question-answer pairs from various sources and domains, including StackExchange, Yahoo Answers, Google & Bing search queries to give the best matches.

mustacheemperor 4y ago

This is great. I was a big fan of the beats music service's feature that let you 'mad lib' a sentence like "I am [singing along] [with my bff] [in the car] to [pop music]" and was always let down nothing similar appeared in competing services. This feels like the next step for that kind of feature. For about a year now I've been eagerly awaiting when this kind of thing will become available for streaming TV and movies. This christmas it really struck me how cool and convenient it would be to be able to ask a smart tv "Hey, throw on a mix of all the good Simpsons and Bob's Burgers holiday episodes." I can't imagine that's far away now, especially seeing this project! Honestly, I wouldn't be surprised if at this point the hardest challenge would be somehow launching between different services to specific programs, not building the playlist itself.

nlplaylist 4y ago
Thank you! I'm just a guy who loves music and sharing it with people. It's been my dream to build something like that. Hope you find some good tunes with my project!
- ddmma 4y ago
  Hope you can get an Spotify job offer right away
- logicallee 4y ago
  Hey! I sent you an email about a possible collaboration. Hope to hear from you :)
- mustacheemperor 4y ago
  Just wanted to circle back and say some of my friends and I have been using this for our 'radio' at our desk on a daily basis and it's just awesome. The accuracy to the prompt isn't always 100% there, but I honestly like how much new music that's somewhat style-adjacent that kind of mismatch is introducing me to. Hopefully we aren't running up a giant bill on your GPU instances...let me start paying for this every month!

caseyf 4y ago

very cool! i generated a playlist and the first 3 songs were by the same band. I'm not sure how the tracks are ordered but some shuffling of the bands would be nice.

SomeoneOnTheWeb 4y ago

This is a great project! I tried with a complex prompt including lyrics quality and language and it worked perfectly! I'm really amazed. Would it be possible to release this project on Github/Gitlab so other people can host their own version and/or hack on it? I'd love to run this on my own instance and integrate it with some my personal projects.

theadultnerd 4y ago

Pretty sure that Modest Mouse doesn't belong on a playlist of "Riot Grrl Influenced bands with albums released after 2020." I like this idea though. https://open.spotify.com/playlist/5z5loSusnf9p5fRGzCIfk6 https://open.spotify.com/playlist/5z5loSusnf9p5fRGzCIfk6

swyx 4y ago

"[name redacted], Front-End Designer" idk if i'd call myself a designer with the app looking like that haha. not quite Spotify-level. but congrats on shipping, OP :)

deleted 4y ago
[deleted]
alextechdev1988 4y ago
Ha! Wasn’t meant to be up to par as Spotify, more as a fun project. Spotify uses React, which we will eventually implement. We didnt have time to completely replicate Spotify’s UI/UX.

oaththrowaway 4y ago

Back in the day there was a project called Tomahawk Player that tied into a service called Echo Nest (which I believe got purchased and shut down by Spotify). For me that was the peak of music discovery. I haven't been able to replicate it yet.

Mattasher 4y ago
Grooveshark (RIP) had the best music recommendation engine I've ever used.
- odiroot 4y ago
  And also had probably best web UI for listening to music. RIP
- zahrc 4y ago
  And listening together was also possible… man I miss grooveshark
at_a_remove 4y ago
AcousticBrainz and Echo Nest, both gone now. It seems like only Pandora's Music Genome is still functioning. I know this is a Hard Problem, but I also think it is a problem with a great deal of payoff. Art (music, movies, books, etc) is unique in that someone will very much want "more of the same" but not the exact same thing (the identical song). People want the same cheeseburger over and over again, but not the same bit of music. Being able to say "more of that" and actually get the right results back, rather than "more of what other people who liked that song liked" would be a huge boon, but so far, we just don't have the analysis to automate that kind of thing. It's also hard when it comes to identifying what features must be conserved. On Reddit, you'll get questions, say in the /r/horror subreddit, such as "I really liked May; more like this!" and I will ask, "More with Angela Bettis? More by director Lucky McKee? More about body parts? More where the lead undergoes some late stage transition from average to alluring? What, in particular, did you want more of?" You can sort of replicate this on Discogs by looking up band members and trying to hunt down later or earlier projects from them, but again, that's just a proxy for a particular quality.

nharada 4y ago

I love it, awesome job!

danso 4y ago

> I'm a Data Science grad student looking for a job in the music industry! Hire me! This is the perfect project to garner that kind of industry attention, hope it works out!

deleted 4y ago
[deleted]

SoftAnnaLee 4y ago

Honestly, I'm genuinely impressed. I even searched something that I would think would trip it up, "transgirl puppycore", and it managed to not only give several songs that are extremely on-point but likewise has a bunch of new and interesting music I never would have discovered otherwise. I genuinely can see this being an extremely useful tool for content discovery; and I really hope the major players will implement your work. Edit: A link to the playlist - https://open.spotify.com/playlist/03B6UoO679VGxQykFgpUSO?si=f6b2c45483af4f28 https://open.spotify.com/playlist/03B6UoO679VGxQykFgpUSO?si=...

crdrost 4y ago
I had more limited success :( Tried to use it to extend my Funky Christmas playlist (exemplars: James Brown’s “Soulful Christmas”, The Band’s “Christmas Must Be Tonight”, any “Lean On Me” but mine is by Music Travel Love, Train’s “Christmas Island”, Pomplamoose’s take on “Here we come a-caroling”, Twin Bandit’s “Rise Up Shepherd”)... So like I am not expecting it to get the full genre correct, because the genre is Christmas songs that can simultaneously sit in the background AND surprise you, it's Pat Monahan and he's singing a Christmas song and it's about how he's gonna do Christmas in a resort in Hawaii this year because eff the snow. Problem is that 90% of these results are not even debatably Christmas songs?
- nlplaylist 4y ago
  I removed all Christmas songs after Christmas! That's probably the issue. The majority of problems people are seeing can be fixed by expanding the dataset.

zw123456 4y ago

Very cool work, good luck, hope you land a good job. I put in "Women Jazz Singers" Not bad, a bit heavy on Nina Simone and had Marvin Gaye, who was great but a dude. Nit picking really. Nice work :)

leonidasv 4y ago

I asked for a playlist of "how ADHD sounded like" and I can't be more impressed. I don't have ADHD myself but live with people that do and I think the playlist really captured some of the observed symptoms of the disorder in a musical way. But what I really found impressive is: searching for "ADHD playlists" in Spotify yields a lot of playlists with lo-fi music for deep focus, not the fast-paced, disorganized, hyperactive songs I got in the generated playlist. That means, the model is capable of discerning what the word "ADHD" means in a profound way, it's not just regurgitating songs that resemble "Spotify playlists with ADHD in their title". Very, very impressive. For the curious: https://open.spotify.com/playlist/3MSryXJ6F1n34JSIPe1iMA?si=13ef3af0cf624c15 https://open.spotify.com/playlist/3MSryXJ6F1n34JSIPe1iMA?si=...

nullsense 4y ago
It's missing the "I feel like crap because I got yelled at for the 1000th time by the same person for doing the same thing wrong" mixed with the anxiety of "I know from experience I can't avoid that happening again, but how I can I avoid that happening again?". The themes I can detect in the playlist itself are "I don't know quite what this is, but that itself is interesting, so my brain is just going to surf on that for a while", "nothing's going on, so I started daydreaming and my brain is in that comfortable relaxed happy place", and "oh oh oh, Yes yes yes! Mode"

barbazoo 4y ago

Love the idea!!!!! Tried a few softballs, not sure how accurate it is. Example: "Extremely popular pop rock from the early 1990s." [0] It's good music but I wouldn't say those were extremely popular in the 90s. Again, great work and I'll check it out for more obscure searches based on feeling rather than objective information. [0] https://open.spotify.com/playlist/4ALBHGIxhsspN793KXZq9k?go=1&sp_cid=6a19d240ab48fcc6657a3ce35f29f656&utm_source=embed_player_p&utm_medium=desktop https://open.spotify.com/playlist/4ALBHGIxhsspN793KXZq9k?go=...

Sohcahtoa82 4y ago

I wanted to find more "heavy metal with trance-like synthesizers" and didn't really get any good results. To give the perfect example of what I'm looking for, see Blood Stain Child - Stargazer: https://youtu.be/IjTXeJZM8wg https://youtu.be/IjTXeJZM8wg

nlplaylist 4y ago
Could be that a song like that simply doesn't exist in my current dataset of 35k tracks.

ryanSrich 4y ago

Here's the playlist it generated for "midwest emo songs that feel influenced by radiohead, but also seem a bit dream poppy" About as accurate as you could be I think. https://open.spotify.com/playlist/44vaFvFLaHvRi9aaYW2Iq1?go=1&sp_cid=c42f8e071a2b3fbb0c48713b64b82b4e&utm_source=embed_player_p&utm_medium=desktop&nd=1 https://open.spotify.com/playlist/44vaFvFLaHvRi9aaYW2Iq1?go=...

__alias 4y ago

I highly recommend everyone look through the other playlists on Spotify that the account also generates. Gives you an insight into the hilarious prompts others here are using

mohsenari 4y ago
I just took a glance and the playlists (aka prompts) are top laughter material.
- ajmurmann 4y ago
  "Songs to play while I cheat on my boyfriend"

TheSpiceIsLife 4y ago

Detroit techno with sexy lyrics Track 8: Sandwiches

s1mon 4y ago

"Obscure dark techno from 1990 Berlin" yielded a playlist with a 2009 remaster of Kraftwerk. Kraftwerk is one of my favorite bands, but it's not obscure and it's not from 1990 Berlin. On the same list are a bunch of bands and songs which I would enjoy, but are not from Berlin nor from 1990. I also tried "Cover songs which are much more famous than the originals", and after spot checking the list, it seems to be originals - not covers. I gave the same prompts to ChatGPT. It wouldn't even try with the first prompt, but the second prompt yielded a decent list.

flobosg 4y ago

Music for high-level shitposting – https://open.spotify.com/playlist/3PRcPyTztdE3YJBjcsQnRk https://open.spotify.com/playlist/3PRcPyTztdE3YJBjcsQnRk Wrote the prompt as a joke but the end result is not bad at all!

impalallama 4y ago

i asked for "pop music to sing to while drunk" and the first couple songs were country songs about drinking so a bit hit or miss

egypturnash 4y ago

posting this here so I can see if this generated playlist is, indeed, "chock full of farts" when I have time to listen to some music later today if anyone listens to this before I get a chance, please weigh in on how farty you think this is https://open.spotify.com/playlist/088WOoTJQ5y2YradJpWAtc?go=1&sp_cid=d873503f9d652c31976e16f3e1576861&nd=1 https://open.spotify.com/playlist/088WOoTJQ5y2YradJpWAtc?go=...

thedudeabides5 4y ago

I put in "tech playa house definitely not dubstep" and it gave me dubstep But love the idea.

xxxxxxxx 4y ago

Congrats - this is awesome. I'm enjoying lots of new songs that got recommended.

LunarAurora 4y ago

Nice work ! So The OP said here that this is based on a “semantic” enhancing of an (already rich) 35k tracks DB. Music platforms in general do not allow people to describe/annotate tracks verbally (people would love to "let it out" !). The day they will decide to implement an NLP search similar to this, for up to 100 million tracks [1], they will regret it. Album reviews is the only "semantically rich" AND "widely used" music description I can think of. Last.fm has some interesting data on the finer track level (wiki, comments, tags), but it could have been way, way richer [1] https://www.apple.com/newsroom/2022/10/celebrating-100-million-songs/ https://www.apple.com/newsroom/2022/10/celebrating-100-milli...

ajmurmann 4y ago

I asked for "music that would convince anyone that the cello is three best instrument" and it couldn't be further from what I'd expect. Not a single song even has a cello in it. Maybe the absence use supposed to convince?

nlplaylist 4y ago
Don't have instrument specific data on songs. Wish I did. Was thinking about classification algorithm on song spectrograms to do this. There's a music instrument dataset I could train on and run my songs through. Could possibly take weeks though. I'll investigate.

vhiremath4 4y ago

Wow... I searched "ethereal progressive house to code to" and this playlist is amazing. https://open.spotify.com/playlist/1c384nZMHmWHJg5f9LjOD4?go=1&sp_cid=5324aefbe1d888e9f94fce153596d53b&utm_source=embed_player_p&utm_medium=desktop https://open.spotify.com/playlist/1c384nZMHmWHJg5f9LjOD4?go=...

skribanto 4y ago

Looks like a malicious actor is messing around with it... Hello I am testing my pentesting skills, please make a comment on your most recent reddit post and I will stop :) blah blah apple banana orange cucumber happy sad good bad filler words stars moon sun

Zababa 4y ago

Fun to play with, good job! I wonder if the exact opposite exist: give it a playlist, and it'll give you some kind of description for it. I always have a hard time answering "What kind of music do you listen to?", maybe AI could help.

DEN0MINAT0R 4y ago

To me it seems like the best matches for the prompt seem to show up towards the bottom of the playlist. Not sure if anyone else has noticed anything similar, or if it’s just coincidence.

alephaleph 4y ago

Through experimentation I have determined that this model has no idea what klezmer music is :(

alephaleph 4y ago
or the concept of sleep: https://open.spotify.com/playlist/3CRpqI4rd0wx8RndZA2dKr?si=A6v3v4MfTIymSdaYUqtU_Q https://open.spotify.com/playlist/3CRpqI4rd0wx8RndZA2dKr?si=...

sirspacey 4y ago

Really cool - I’m loving this playlist! “Radiohead with chillwave”

jtode 4y ago

I'm getting a 502 backend error. Looks to me like the site's currently loved to death, cause boy did I get excited at the title lol Setting a reminder to check it out in a couple days when things settle down, ya ravenous mob...

cainxinth 4y ago

Wow, I love it. Already made several running playlists that I will definitely use. Great work!

shineoncrazy 4y ago

I'm looking for a fast paced rock song, the refrain is sung by a woman, something like "[...] every beat, [...], blue, blue sky [...] ". She had a powerful, high-pitched voice. I had this song on my liked spotify list, then it suddenly disappeared. Can this tool find it for me?