4 ms·

> emotions using speech recognition technology. Because many don't know the actual term for what they're analysing, I thought I'll post it here: https://en.wi

> emotions using speech recognition technology. Because many don't know the actual term for what they're analysing, I thought I'll post it here: https://en.wikipedia.org/wiki/Emotional_prosody https://en.wikipedia.org/wiki/Emotional_prosody Honestly, I don't think this is a good idea. It opens one up for manipulation. You feel this way and Spotify will suggest you something that makes you feel rather that way. It doesn't matter if it's one or more songs meant to support these feelings or counter them, I don't think this is a good for people in the long run. That's not even considering the fact that they want to basically spy on people.

mackrevinack 6y ago
also, not everyone wants to listen to happy music when they are sad. source: me
- TeMPOraL 6y ago
  Me too. I've learned over time that I tend to gravitate towards music that resonates with my current emotional state. So sad music when I'm sad, energetic music when I'm energetic, etc. But I guess they know that phenomenon too.
DoingIsLearning 6y ago
Unrelated to Spotify discussion, I remember quite a few years ago that there was research on algorithmically detected fatigue in human voice, the scope of the research was to implement a means of fatigue warning for airline pilots and ATC staff. My point there is that there is absolutely intrinsic value in researching in this field, but it just seems to be rather misguided whenever companies suffer from a high VC valuation.
loceng 6y ago
My first thought was what accountability or required liability will there be? Laws are nowhere near caught up to be relevant or significant for the times, and so the answer is there will be no accountability, liability, understanding or responsibility for the impact of their algorithmic decisions; we know the experiment Facebook did with showing more negative or depressive posts had on people, yet nothing happened to them for this.

mackrevinack 6y ago

also, not everyone wants to listen to happy music when they are sad. source: me

TeMPOraL 6y ago
Me too. I've learned over time that I tend to gravitate towards music that resonates with my current emotional state. So sad music when I'm sad, energetic music when I'm energetic, etc. But I guess they know that phenomenon too.

DoingIsLearning 6y ago

Unrelated to Spotify discussion, I remember quite a few years ago that there was research on algorithmically detected fatigue in human voice, the scope of the research was to implement a means of fatigue warning for airline pilots and ATC staff. My point there is that there is absolutely intrinsic value in researching in this field, but it just seems to be rather misguided whenever companies suffer from a high VC valuation.

loceng 6y ago

My first thought was what accountability or required liability will there be? Laws are nowhere near caught up to be relevant or significant for the times, and so the answer is there will be no accountability, liability, understanding or responsibility for the impact of their algorithmic decisions; we know the experiment Facebook did with showing more negative or depressive posts had on people, yet nothing happened to them for this.