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detecting emotions and maybe something else in voice
15 posts
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detecting emotions and maybe something else in voice
I'm starting to think about a project, that would measure somewhat emotional correlates of continuous speech.
Found this article and this article. While still some articles must be found I guess, few questions emerge. These parameters are pointed:
- fundamental frequency [can be tracked automatically by Martin's pitch tracker]
- speech rate [how to automate it to get decent results? how to approach it?],
- pauses [I guess this is silence detector],
- voice intensity [peak detection or RMS?],
- voice onset time [I'm confused with this one],
- jitter (pitch perturbations) [as I understand, this is calculated over the pitch detection array],
- shimmer (loudness perturbations) [as I understand, this is calculated over the peak/RMS detection array],
- voice breaks [I'm confused with this one],
- pitch jumps [I'm confused with this one, i.e. what to measure],
- and measures of voice quality:
-- the relative extent of high- versus low-frequency energy in the spectrum [what exactly is measured? two filters and RMS per band?],
-- the frequency and bandwidth of energy peaks in the spectrum due to natural resonances of the vocal tract called formants [and how to approach them?].
Should be some other parameters in the game?
It's a starting point I guess. The main goal would be to create some sort of oscilloscope view,s that will show emotional cues that come out of acoustic measurements/features. Yet we need to figure out what is what.
Found this article and this article. While still some articles must be found I guess, few questions emerge. These parameters are pointed:
- fundamental frequency [can be tracked automatically by Martin's pitch tracker]
- speech rate [how to automate it to get decent results? how to approach it?],
- pauses [I guess this is silence detector],
- voice intensity [peak detection or RMS?],
- voice onset time [I'm confused with this one],
- jitter (pitch perturbations) [as I understand, this is calculated over the pitch detection array],
- shimmer (loudness perturbations) [as I understand, this is calculated over the peak/RMS detection array],
- voice breaks [I'm confused with this one],
- pitch jumps [I'm confused with this one, i.e. what to measure],
- and measures of voice quality:
-- the relative extent of high- versus low-frequency energy in the spectrum [what exactly is measured? two filters and RMS per band?],
-- the frequency and bandwidth of energy peaks in the spectrum due to natural resonances of the vocal tract called formants [and how to approach them?].
Should be some other parameters in the game?
It's a starting point I guess. The main goal would be to create some sort of oscilloscope view,s that will show emotional cues that come out of acoustic measurements/features. Yet we need to figure out what is what.
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- tester
- Posts: 1786
- Joined: Wed Jan 18, 2012 10:52 pm
- Location: Poland, internet
Re: detecting emotions and maybe something else in voice
Think your best bet would be to keep comparing fft's for a couple of years, get some skill at it.
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MegaHurtz - Posts: 105
- Joined: Mon Aug 11, 2008 6:29 pm
- Location: Eindhoven/Nederland
Re: detecting emotions and maybe something else in voice
MH - just stop.
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- tester
- Posts: 1786
- Joined: Wed Jan 18, 2012 10:52 pm
- Location: Poland, internet
Re: detecting emotions and maybe something else in voice
tester wrote:MH - just stop.
Yeah just stop maybe he's onto something here,
sorry I meant on somthing I enjoy a good drug fueled fantasy as much as the the next man,
but if the ability to discern emotions from the voice was possible there would be a lot less water boarding, and lie detectors would be alot simpler.
but using the voice as a source of modulation with all its nuances is a great idea
- Xtinct
- Posts: 106
- Joined: Fri Feb 11, 2011 12:06 am
Re: detecting emotions and maybe something else in voice
Isnt this good text to speech analysis?
sidenote: general objective ill defined and vague.
sidenote: user reads paragraph.
sidenote: user zoned out. action: hint at actual understanding.
sidenote: user gets angry at the prospect of actual understanding.
sidenote: user blames world.
sidenote: user reverts to 4chan lingo/mentality. action: leave for dead/check netbios.
sidenote: user zoned out.
Maybe I am a robot..
sidenote: general objective ill defined and vague.
sidenote: user reads paragraph.
sidenote: user zoned out. action: hint at actual understanding.
sidenote: user gets angry at the prospect of actual understanding.
sidenote: user blames world.
sidenote: user reverts to 4chan lingo/mentality. action: leave for dead/check netbios.
sidenote: user zoned out.
Maybe I am a robot..
192k @ 8ms
-
MegaHurtz - Posts: 105
- Joined: Mon Aug 11, 2008 6:29 pm
- Location: Eindhoven/Nederland
Re: detecting emotions and maybe something else in voice
Lol Megahurtz you crack me up m8
Tester here is a place i find really interesting! they have a raft of funky software and resources all to do with speech, speech synthesis and recognition http://www.phon.ucl.ac.uk/resource/
there might be some stuff in there that will help you!
Regards
Tester here is a place i find really interesting! they have a raft of funky software and resources all to do with speech, speech synthesis and recognition http://www.phon.ucl.ac.uk/resource/
there might be some stuff in there that will help you!
Regards
- Jay
- Posts: 276
- Joined: Tue Jul 13, 2010 5:42 pm
Re: detecting emotions and maybe something else in voice
Xtinct wrote:tester wrote:MH - just stop.
... if the ability to discern emotions from the voice was possible there would be a lot less water boarding, and lie detectors would be alot simpler...
Well, a couple of decades ago it was impossible to separate individual notes from, say, a recorded piano chord. Then came Melodyne (and others) and the impossible became possible. It´s just a matter of figuring out how it can be done, and if we have enough CPU power to do it in some practical way.
- Tzarls
- Posts: 54
- Joined: Thu Oct 21, 2010 2:10 am
Re: detecting emotions and maybe something else in voice
Dont warn me like this tester thats just childish.
"MH, you can be sure that I will take proper actions if you are going to do again what you did in the past. Go posting your spam somewhere else."
It has progressed a lot, but tension is not a good basis to prosecute anyone. Offcourse hes tense. Or hes an absolute psychopath. Now who did?. Or in other words.. hes lying lets waterboard him yeehaw!
"MH, you can be sure that I will take proper actions if you are going to do again what you did in the past. Go posting your spam somewhere else."
Tzarls wrote:Xtinct wrote:tester wrote:MH - just stop.
... if the ability to discern emotions from the voice was possible there would be a lot less water boarding, and lie detectors would be alot simpler...
Well, a couple of decades ago it was impossible to separate individual notes from, say, a recorded piano chord. Then came Melodyne (and others) and the impossible became possible. It´s just a matter of figuring out how it can be done, and if we have enough CPU power to do it in some practical way.
It has progressed a lot, but tension is not a good basis to prosecute anyone. Offcourse hes tense. Or hes an absolute psychopath. Now who did?. Or in other words.. hes lying lets waterboard him yeehaw!
192k @ 8ms
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MegaHurtz - Posts: 105
- Joined: Mon Aug 11, 2008 6:29 pm
- Location: Eindhoven/Nederland
Re: detecting emotions and maybe something else in voice
Look MH - I sent you a friendly warning on PM and not in public exchange, because this is how it works. I sent you a friendly warning, so that you think twice before act like a stupid kid again. It's not the first time when you are spamming topics. If you are unable to behave in discussion - it's your choice. Just be aware of the consequences.
Need to take a break? I have something right for you.
Feel free to donate. Thank you for your contribution.
Feel free to donate. Thank you for your contribution.
- tester
- Posts: 1786
- Joined: Wed Jan 18, 2012 10:52 pm
- Location: Poland, internet
15 posts
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