8 ms·

Open Source Speech Recognition

311 points by ashitlerferad 10y ago

afsina 10y ago
Any reason why not to use Kaldi (https://github.com/kaldi-asr/kaldi https://github.com/kaldi-asr/kaldi)? AFAIK it uses most of the state of the art algorithms.
- kleiba 10y ago
  I was thinking the same. Kaldi's documentation is a bit lacking, and it's non-trivial to use besides their provided "recipes".
- roel_v 10y ago
  It's (a lot) more difficult to set up.
- squeaky-clean 10y ago
  Like others are saying, it's just much harder to use. The official tutorial even says "The intended audience for this tutorial is either speech recognition researchers, or graduates or advanced undergraduates who are studying this area anyway." in the first paragraph. It seems like Kaldi is meant for people who actually know how speech recognition works, while other tools are meant for people who just want some text from some audio without really understanding how. For example, I've been playing with home automation and speech recognition, and have been able to get any Sphinx based recognizer working in a single sitting, in a few hours or less. But I've yet to get Kaldi working yet after a several nights of effort. It seems much more powerful, and based on my reading, it's more accurate than Sphinx. But that doesn't do me any good if I can't get it to run, haha.
- jandrese 10y ago
  Frankly, Kaldi is nearly impossible for mere mortals to use. It's 100% targeted at people doing PhD work in speech recognition who have a colleague who already knows how it works and can set it up for them. IMHO, there is a big opportunity for someone to come along and repackage it in a user friendly way, but the people who actually understand it are too busy doing "real work" to bother with such frivolity.
kleiba 10y ago
Please do not confuse the terms "voice recognition" and "speech recognition": the former refers to identifying people by their voice, the latter to transcribing spoken words to text.
- nxzero 10y ago
  Not an expert, but might go even further to state that voice recognition doesn't even require identification of a speaker, but that words are being spoken.
  - richarme 10y ago
    That would be speech detection / voice activity detection.
- zeckalpha 10y ago
  Speaker recognition unambiguously describes identifying people by their voice, whereas voice recognition frequently is used for both. This blog post isn't confusing the terms – they've already been confused.
johnwheeler 10y ago
"Amazon Alexa skills JS API...There isn’t really any alternative right now..." I want to take this opportunity to plug an Alexa Skills Kit API (in Python) I just dropped: https://github.com/johnwheeler/flask-ask https://github.com/johnwheeler/flask-ask It does a lot of things the JS API doesn't: Jinja templates, decorator-based intent routing, slot defaults/conversions, and request signature verification to name a few.
- dozzie 10y ago
  OK, you have written an API. When can be expected that you publish a code for a service that implements this API?
  - johnwheeler 10y ago
    Hi dozzie! Please check out the samples directory for client code: https://github.com/johnwheeler/flask-ask/tree/master/samples https://github.com/johnwheeler/flask-ask/tree/master/samples These are direct ports from the Java samples: https://github.com/amzn/alexa-skills-kit-java/tree/master/samples/src/main/java https://github.com/amzn/alexa-skills-kit-java/tree/master/sa...
- jamornh 10y ago
  I was just looking for something like this, and as of yesterday I only found this project: https://github.com/anjishnu/ask-alexa-pykit https://github.com/anjishnu/ask-alexa-pykit Yours look much simpler to get started, would you care to comment on what the differences are between yours and the project I just posted?
  - johnwheeler 10y ago
    Yes! I just put mine up a month ago - not discoverable for "Python Alexa" or any keywords. Working on it :-) So for the differences - Alexa Skills are deployable as AWS Lambda functions or behind HTTPS. Currently, ask-alexa-pykit works on Lambda and Flask-Ask implements the signature verification required for HTTPS deployments. (i.e. Flask-Ask works on your own HTTPS server or Lambda). Another difference is in the intent mapping design. Flask-Ask is based on the same architectural patterns of Flask with context locals, parameter mapping / conversion, and of course, Jinja templates! For example, Mapping an intent with ask-alexa-pykit looks like this: http://pastebin.com/raw/hQJLKnHL http://pastebin.com/raw/hQJLKnHL Flask-Ask is like this: http://pastebin.com/raw/9fWrGNYY http://pastebin.com/raw/9fWrGNYY Flask-Ask also converts slots like firstname from the example above into arbitrary datatypes, and has stock conversions for AMAZON.DURATION (e.g. 'P2YT3H10M' into a Python datetime.timedelta). Full parameter mapping docs here: https://johnwheeler.org/flask-ask/requests.html#mapping-intent-slots-to-view-function-parameters https://johnwheeler.org/flask-ask/requests.html#mapping-inte... Flask-Ask templates are grouped together in the same files since utterances are typically small phrases--to make them easier to manage. Templates are of course an optional feature but are encouraged! It's still very early, but I'm working my butt off, full-time on it! I have a 5-min tutorial that shows how to get up and running with Flask-Ask and ngrok: https://www.youtube.com/watch?v=eC2zi4WIFX0 https://www.youtube.com/watch?v=eC2zi4WIFX0 - The API has changed a little, if you try it out and have any questions, you can do an issue or hit me up! john at ! johnwheeler.org Thank you!
tianlins 10y ago
How accurate is CMU Sphinx for speech recognition compared to what's inside Alexa?
- IshKebab 10y ago
  Sphinx is pretty awful (remember the time before good speech recognition existed?). Alexa is far better. Kaldi is much better, but very difficult to set up. None of the open source speech recognition systems (or commercial for that matter) come close to Google.
  - dharma1 10y ago
    https://github.com/alumae/kaldi-gstreamer-server https://github.com/alumae/kaldi-gstreamer-server Takes the pain out of it
    - IshKebab 10y ago
      Ah interesting link, I hadn't seen that.
  - amelius 10y ago
    > None of the open source speech recognition systems (or commercial for that matter) come close to Google. Is that because of the data they have, or because of their superior algorithms?
    - IshKebab 10y ago
      Both I think, but mostly the data. Baidu's deep speech is meant to be very good and its design is public (they even open sourced one component of it).
    - kuschku 10y ago
      It’s because they used data from the public to train their models. If, suddenly, someone would apply the fact that copyright bans remixes to training of neural networks, and apply the fact that licenses for this have to be granted explicitly, Google would lose 90% of their advantage over other companies. Personally, I’d be for making a requirement that companies open source their trained models if the training data contained data supplied by users, not paid employees.
irascible 10y ago
Is this relevant because open source? Chrome has speech recog built in for a while now..
bitL 10y ago
Anyone knows which one should I use for an offline real-time speech recognition on a humanoid robot running Raspberry Pi 2?
- roel_v 10y ago
  Two realistic options, one is pocketsphinx, the other Kaldi. When running on a Pi, pocketsphinx will be your only realistic option for realtime detection. You'll want to move to a RaspPi 3 as well, and you'll want to use a customized dictionary to try and get your recognition speed up. Lastly, there are several parameters you can tweak that'll affect recognition speed. Raw processing power will be the bottleneck on a Raspberry Pi.
- smcameron 10y ago
  Pocketsphinx. Here is a demo https://www.youtube.com/watch?v=tfcme7maygw https://www.youtube.com/watch?v=tfcme7maygw and a blog post about how to do it: https://scaryreasoner.wordpress.com/2016/05/14/speech-recognition-and-natural-language-processing-in-space-nerds-in-space/ https://scaryreasoner.wordpress.com/2016/05/14/speech-recogn... Code is in here (gpl2) https://github.com/smcameron/space-nerds-in-space https://github.com/smcameron/space-nerds-in-space In particular, look at snis_nl.h, snis_nl.c The trick with pocketsphinx is to limit the vocabulary you want to recognize, and create a corpus of the types of things you want to be able to recognize and feed it through here: http://www.speech.cs.cmu.edu/tools/lmtool-new.html http://www.speech.cs.cmu.edu/tools/lmtool-new.html If you try to use pocketsphinx to recognize arbitrary English (e.g. dictation) it's not going to work very well in my experience.
ygmelnikova 10y ago
Google has their new Cloud Speech API (alpha) https://cloud.google.com/speech/ https://cloud.google.com/speech/
teekert 10y ago
Maybe relevant: a FOSS AI project: https://mycroft.ai/ https://mycroft.ai/
jessyuan 10y ago
How can I study speech recognition???
- nshm 10y ago
  Read the book: Automatic Speech Recognition A Deep Learning Approach http://rd.springer.com/book/10.1007%2F978-1-4471-5779-3 http://rd.springer.com/book/10.1007%2F978-1-4471-5779-3. Also read another book http://www.amazon.com/Spoken-Language-Processing-Algorithm-Development/dp/0130226165 http://www.amazon.com/Spoken-Language-Processing-Algorithm-D.... In parallel play with open source toolkits - cmusphinx, kaldi. Just run examples from tutorials to understand how things look in practice.
- pc2g4d 10y ago
  Take a natural language processing course if possible
avodonosov 10y ago
I tried sphinx in 2005 - we needed to recognize separate words, not even phrases. It wasn't viable, only commercial alternatives were satisfying.
- falcolas 10y ago
  It has been 11 years since your last attempt then - have you checked it for improvements since?
  - CaptSpify 10y ago
    I have. It's... not great. It gets the job done, but it's a bit cumbersome. It does recognize separate words, but, IMO, the biggest flaw is that it only recognizes pre-defined commands.
bruth 10y ago
A bit of a tangent, but are there good speech-to-text tools that can take an audio file (i.e. a voice memo) and transcribe it?
- athenot 10y ago
  Nuance has a suite that does that. We use their software and it's pretty good—despite being a headache to configure. But it's neither free nor open source.
- willwill100 10y ago
  that's exactly what we do at speechmatics.com - feel free to give us a try and make the most of the free credits
  - bruth 10y ago
    Great, I just submitted the first audio file for transcription. Looking forward to seeing the output.
- afsina 10y ago
  Google will start giving this service. https://cloud.google.com/speech/ https://cloud.google.com/speech/
- nmcfarl 10y ago
  This is also what Castingwords does - if you want high quality results transcribed by people. https://castingwords.com/support/transcription-api.html https://castingwords.com/support/transcription-api.html We use Speechmatics (and sphinx) for caption alignment and timestamps. We certainly recommend them if that’s the service you need.
- nfriedly 10y ago
  I've done a lot of work with the Watson Speech to Text service (I work on the Watson team), and I've been pretty impressed with the results. You can upload an audio file (wav, flac, or ogg/opus) to the demo to try it out: https://speech-to-text-demo.mybluemix.net/ https://speech-to-text-demo.mybluemix.net/
10dpd 10y ago
http://www.politepix.com/openears/ http://www.politepix.com/openears/ for iOS has been around since 2010
PSeitz 10y ago
pocketsphinx is too bad to be useful. I even tried to train special speech models with no luck. I guess we need something new and shiny here in the open source space, probably based on neural networks
- roel_v 10y ago
  Kaldi does this, but it's a lot harder than pocketsphinx to get running.
  - skykooler 10y ago
    Julius works well, but has no continuous dictation models for English yet (it was originally developed in Japanese).
praccu 10y ago
cobaltspeech.Com -- in case you can't get what you want from a default Kaldi install.
stephengillie 10y ago
[Deleted]
- skykooler 10y ago
  .NET speech recognition is Windows-only. I doubt Mozilla would go for this as they are aiming for cross-platform software.
doc_holliday 10y ago
Slightly related, does anyone know of any speech recognition library that also analysises the intonation / emotion in speech? For example that has the ability to recognise anger / happy / questioning to relative accuracy?
- knodi123 10y ago
  NO! BUT THAT'S A GOOD QUESTION! But seriously, I've seen emotion recognition, and speech recognition, but haven't come across anything that provides both in one package.
  - doc_holliday 10y ago
    Do you have link to good emotion recognition if you have used one? Perhaps, could use wrapper library to combine functionality. It's a very interesting area.
    - knodi123 10y ago
      I have used none, but at the time I researched it, a lot of people were talking positively about https://www.informatik.uni-augsburg.de/lehrstuehle/hcm/projects/tools/emovoice/ https://www.informatik.uni-augsburg.de/lehrstuehle/hcm/proje...
    - nfriedly 10y ago
      I work on the Watson team, so I'm probably biased, but I think our AlchemyLanguage Emotion Analysis is pretty good: http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/alchemy-language.html http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercl...
EGreg 10y ago
What about OpenEars? Is this better somehow? http://www.politepix.com/openears/ http://www.politepix.com/openears/
gravypod 10y ago
My main issue with doing anything voice related was the last time I looked into using Pocketsphinx I needed to define terms/dictionaries to parse from. I'd love to mix and match NPL libraries, voice synthesis, voice identification, and speech recognition to make a comfortable "User Interface" to some systems in my house. I think it'd be a fun project, but nothing seems to be able to take arbitrary audio streams and give me a "User identification" based on voice patterns and also arbitrary spoken text. I know, yes, this is a VERY tall order, but it something that should be possible. At the very least, the identification part isn't needed. It's just important that it works offline and provides a text stream.

311 points by ashitlerferad 10y ago

Any reason why not to use Kaldi (https://github.com/kaldi-asr/kaldi https://github.com/kaldi-asr/kaldi)? AFAIK it uses most of the state of the art algorithms.

kleiba 10y ago
I was thinking the same. Kaldi's documentation is a bit lacking, and it's non-trivial to use besides their provided "recipes".
roel_v 10y ago
It's (a lot) more difficult to set up.
squeaky-clean 10y ago
Like others are saying, it's just much harder to use. The official tutorial even says "The intended audience for this tutorial is either speech recognition researchers, or graduates or advanced undergraduates who are studying this area anyway." in the first paragraph. It seems like Kaldi is meant for people who actually know how speech recognition works, while other tools are meant for people who just want some text from some audio without really understanding how. For example, I've been playing with home automation and speech recognition, and have been able to get any Sphinx based recognizer working in a single sitting, in a few hours or less. But I've yet to get Kaldi working yet after a several nights of effort. It seems much more powerful, and based on my reading, it's more accurate than Sphinx. But that doesn't do me any good if I can't get it to run, haha.
jandrese 10y ago
Frankly, Kaldi is nearly impossible for mere mortals to use. It's 100% targeted at people doing PhD work in speech recognition who have a colleague who already knows how it works and can set it up for them. IMHO, there is a big opportunity for someone to come along and repackage it in a user friendly way, but the people who actually understand it are too busy doing "real work" to bother with such frivolity.

kleiba 10y ago

Please do not confuse the terms "voice recognition" and "speech recognition": the former refers to identifying people by their voice, the latter to transcribing spoken words to text.

nxzero 10y ago
Not an expert, but might go even further to state that voice recognition doesn't even require identification of a speaker, but that words are being spoken.
- richarme 10y ago
  That would be speech detection / voice activity detection.
zeckalpha 10y ago
Speaker recognition unambiguously describes identifying people by their voice, whereas voice recognition frequently is used for both. This blog post isn't confusing the terms – they've already been confused.

johnwheeler 10y ago

"Amazon Alexa skills JS API...There isn’t really any alternative right now..." I want to take this opportunity to plug an Alexa Skills Kit API (in Python) I just dropped: https://github.com/johnwheeler/flask-ask https://github.com/johnwheeler/flask-ask It does a lot of things the JS API doesn't: Jinja templates, decorator-based intent routing, slot defaults/conversions, and request signature verification to name a few.

dozzie 10y ago
OK, you have written an API. When can be expected that you publish a code for a service that implements this API?
- johnwheeler 10y ago
  Hi dozzie! Please check out the samples directory for client code: https://github.com/johnwheeler/flask-ask/tree/master/samples https://github.com/johnwheeler/flask-ask/tree/master/samples These are direct ports from the Java samples: https://github.com/amzn/alexa-skills-kit-java/tree/master/samples/src/main/java https://github.com/amzn/alexa-skills-kit-java/tree/master/sa...
jamornh 10y ago
I was just looking for something like this, and as of yesterday I only found this project: https://github.com/anjishnu/ask-alexa-pykit https://github.com/anjishnu/ask-alexa-pykit Yours look much simpler to get started, would you care to comment on what the differences are between yours and the project I just posted?
- johnwheeler 10y ago
  Yes! I just put mine up a month ago - not discoverable for "Python Alexa" or any keywords. Working on it :-) So for the differences - Alexa Skills are deployable as AWS Lambda functions or behind HTTPS. Currently, ask-alexa-pykit works on Lambda and Flask-Ask implements the signature verification required for HTTPS deployments. (i.e. Flask-Ask works on your own HTTPS server or Lambda). Another difference is in the intent mapping design. Flask-Ask is based on the same architectural patterns of Flask with context locals, parameter mapping / conversion, and of course, Jinja templates! For example, Mapping an intent with ask-alexa-pykit looks like this: http://pastebin.com/raw/hQJLKnHL http://pastebin.com/raw/hQJLKnHL Flask-Ask is like this: http://pastebin.com/raw/9fWrGNYY http://pastebin.com/raw/9fWrGNYY Flask-Ask also converts slots like firstname from the example above into arbitrary datatypes, and has stock conversions for AMAZON.DURATION (e.g. 'P2YT3H10M' into a Python datetime.timedelta). Full parameter mapping docs here: https://johnwheeler.org/flask-ask/requests.html#mapping-intent-slots-to-view-function-parameters https://johnwheeler.org/flask-ask/requests.html#mapping-inte... Flask-Ask templates are grouped together in the same files since utterances are typically small phrases--to make them easier to manage. Templates are of course an optional feature but are encouraged! It's still very early, but I'm working my butt off, full-time on it! I have a 5-min tutorial that shows how to get up and running with Flask-Ask and ngrok: https://www.youtube.com/watch?v=eC2zi4WIFX0 https://www.youtube.com/watch?v=eC2zi4WIFX0 - The API has changed a little, if you try it out and have any questions, you can do an issue or hit me up! john at ! johnwheeler.org Thank you!

tianlins 10y ago

How accurate is CMU Sphinx for speech recognition compared to what's inside Alexa?

IshKebab 10y ago
Sphinx is pretty awful (remember the time before good speech recognition existed?). Alexa is far better. Kaldi is much better, but very difficult to set up. None of the open source speech recognition systems (or commercial for that matter) come close to Google.
- dharma1 10y ago
  https://github.com/alumae/kaldi-gstreamer-server https://github.com/alumae/kaldi-gstreamer-server Takes the pain out of it
  - IshKebab 10y ago
    Ah interesting link, I hadn't seen that.
- amelius 10y ago
  > None of the open source speech recognition systems (or commercial for that matter) come close to Google. Is that because of the data they have, or because of their superior algorithms?
  - IshKebab 10y ago
    Both I think, but mostly the data. Baidu's deep speech is meant to be very good and its design is public (they even open sourced one component of it).
  - kuschku 10y ago
    It’s because they used data from the public to train their models. If, suddenly, someone would apply the fact that copyright bans remixes to training of neural networks, and apply the fact that licenses for this have to be granted explicitly, Google would lose 90% of their advantage over other companies. Personally, I’d be for making a requirement that companies open source their trained models if the training data contained data supplied by users, not paid employees.

irascible 10y ago

Is this relevant because open source? Chrome has speech recog built in for a while now..

bitL 10y ago

Anyone knows which one should I use for an offline real-time speech recognition on a humanoid robot running Raspberry Pi 2?

roel_v 10y ago
Two realistic options, one is pocketsphinx, the other Kaldi. When running on a Pi, pocketsphinx will be your only realistic option for realtime detection. You'll want to move to a RaspPi 3 as well, and you'll want to use a customized dictionary to try and get your recognition speed up. Lastly, there are several parameters you can tweak that'll affect recognition speed. Raw processing power will be the bottleneck on a Raspberry Pi.
smcameron 10y ago
Pocketsphinx. Here is a demo https://www.youtube.com/watch?v=tfcme7maygw https://www.youtube.com/watch?v=tfcme7maygw and a blog post about how to do it: https://scaryreasoner.wordpress.com/2016/05/14/speech-recognition-and-natural-language-processing-in-space-nerds-in-space/ https://scaryreasoner.wordpress.com/2016/05/14/speech-recogn... Code is in here (gpl2) https://github.com/smcameron/space-nerds-in-space https://github.com/smcameron/space-nerds-in-space In particular, look at snis_nl.h, snis_nl.c The trick with pocketsphinx is to limit the vocabulary you want to recognize, and create a corpus of the types of things you want to be able to recognize and feed it through here: http://www.speech.cs.cmu.edu/tools/lmtool-new.html http://www.speech.cs.cmu.edu/tools/lmtool-new.html If you try to use pocketsphinx to recognize arbitrary English (e.g. dictation) it's not going to work very well in my experience.

ygmelnikova 10y ago

Google has their new Cloud Speech API (alpha) https://cloud.google.com/speech/ https://cloud.google.com/speech/

teekert 10y ago

Maybe relevant: a FOSS AI project: https://mycroft.ai/ https://mycroft.ai/

jessyuan 10y ago

How can I study speech recognition???

nshm 10y ago
Read the book: Automatic Speech Recognition A Deep Learning Approach http://rd.springer.com/book/10.1007%2F978-1-4471-5779-3 http://rd.springer.com/book/10.1007%2F978-1-4471-5779-3. Also read another book http://www.amazon.com/Spoken-Language-Processing-Algorithm-Development/dp/0130226165 http://www.amazon.com/Spoken-Language-Processing-Algorithm-D.... In parallel play with open source toolkits - cmusphinx, kaldi. Just run examples from tutorials to understand how things look in practice.
pc2g4d 10y ago
Take a natural language processing course if possible

avodonosov 10y ago

I tried sphinx in 2005 - we needed to recognize separate words, not even phrases. It wasn't viable, only commercial alternatives were satisfying.

falcolas 10y ago
It has been 11 years since your last attempt then - have you checked it for improvements since?
- CaptSpify 10y ago
  I have. It's... not great. It gets the job done, but it's a bit cumbersome. It does recognize separate words, but, IMO, the biggest flaw is that it only recognizes pre-defined commands.

bruth 10y ago

A bit of a tangent, but are there good speech-to-text tools that can take an audio file (i.e. a voice memo) and transcribe it?

athenot 10y ago
Nuance has a suite that does that. We use their software and it's pretty good—despite being a headache to configure. But it's neither free nor open source.
willwill100 10y ago
that's exactly what we do at speechmatics.com - feel free to give us a try and make the most of the free credits
- bruth 10y ago
  Great, I just submitted the first audio file for transcription. Looking forward to seeing the output.
afsina 10y ago
Google will start giving this service. https://cloud.google.com/speech/ https://cloud.google.com/speech/
nmcfarl 10y ago
This is also what Castingwords does - if you want high quality results transcribed by people. https://castingwords.com/support/transcription-api.html https://castingwords.com/support/transcription-api.html We use Speechmatics (and sphinx) for caption alignment and timestamps. We certainly recommend them if that’s the service you need.
nfriedly 10y ago
I've done a lot of work with the Watson Speech to Text service (I work on the Watson team), and I've been pretty impressed with the results. You can upload an audio file (wav, flac, or ogg/opus) to the demo to try it out: https://speech-to-text-demo.mybluemix.net/ https://speech-to-text-demo.mybluemix.net/

10dpd 10y ago

http://www.politepix.com/openears/ http://www.politepix.com/openears/ for iOS has been around since 2010

PSeitz 10y ago

pocketsphinx is too bad to be useful. I even tried to train special speech models with no luck. I guess we need something new and shiny here in the open source space, probably based on neural networks

roel_v 10y ago
Kaldi does this, but it's a lot harder than pocketsphinx to get running.
- skykooler 10y ago
  Julius works well, but has no continuous dictation models for English yet (it was originally developed in Japanese).

praccu 10y ago

cobaltspeech.Com -- in case you can't get what you want from a default Kaldi install.

stephengillie 10y ago

[Deleted]

skykooler 10y ago
.NET speech recognition is Windows-only. I doubt Mozilla would go for this as they are aiming for cross-platform software.

doc_holliday 10y ago

Slightly related, does anyone know of any speech recognition library that also analysises the intonation / emotion in speech? For example that has the ability to recognise anger / happy / questioning to relative accuracy?

knodi123 10y ago
NO! BUT THAT'S A GOOD QUESTION! But seriously, I've seen emotion recognition, and speech recognition, but haven't come across anything that provides both in one package.
- doc_holliday 10y ago
  Do you have link to good emotion recognition if you have used one? Perhaps, could use wrapper library to combine functionality. It's a very interesting area.
  - knodi123 10y ago
    I have used none, but at the time I researched it, a lot of people were talking positively about https://www.informatik.uni-augsburg.de/lehrstuehle/hcm/projects/tools/emovoice/ https://www.informatik.uni-augsburg.de/lehrstuehle/hcm/proje...
  - nfriedly 10y ago
    I work on the Watson team, so I'm probably biased, but I think our AlchemyLanguage Emotion Analysis is pretty good: http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/alchemy-language.html http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercl...

EGreg 10y ago

What about OpenEars? Is this better somehow? http://www.politepix.com/openears/ http://www.politepix.com/openears/

gravypod 10y ago

My main issue with doing anything voice related was the last time I looked into using Pocketsphinx I needed to define terms/dictionaries to parse from. I'd love to mix and match NPL libraries, voice synthesis, voice identification, and speech recognition to make a comfortable "User Interface" to some systems in my house. I think it'd be a fun project, but nothing seems to be able to take arbitrary audio streams and give me a "User identification" based on voice patterns and also arbitrary spoken text. I know, yes, this is a VERY tall order, but it something that should be possible. At the very least, the identification part isn't needed. It's just important that it works offline and provides a text stream.