Hi,
I am a newbie to speech recognition and DSP field. I am looking for a software
library that will take an audio file and classify the 'tone' of voice
in audio file to one of the few predetermined categories e.g. sad, angry,
annoyed, happy, unknown, 'insufficient data' etc. In case of audio
file having multiple tones I would like to know ranking e.g.
1-Angry (50%)
2-Annoyed (40%)
3-Sad (5%)
4- Unknown (5%)
Can someone direct me to right resources.
Many thanks in advance,
Paresh
Classifying 'tone' of voice during speech recognition
Started by ●April 5, 2010
Reply by ●April 5, 20102010-04-05
Paresh-
> I am a newbie to speech recognition and DSP field. I am looking
> for a software library that will take an audio file
> and classify the 'tone' of voice in audio file to one of the few
> predetermined categories e.g. sad, angry, annoyed,
> happy, unknown, 'insufficient data' etc. In case of audio file
> having multiple tones I would like to know ranking e.g.
>
> 1-Angry (50%)
> 2-Annoyed (40%)
> 3-Sad (5%)
> 4- Unknown (5%)
>
> Can someone direct me to right resources.
This is an area of active research... current methods appear to be "promising", not reliable. If you can create such
a library that is content-accurate to 5%, you will be famous.
-Jeff
> I am a newbie to speech recognition and DSP field. I am looking
> for a software library that will take an audio file
> and classify the 'tone' of voice in audio file to one of the few
> predetermined categories e.g. sad, angry, annoyed,
> happy, unknown, 'insufficient data' etc. In case of audio file
> having multiple tones I would like to know ranking e.g.
>
> 1-Angry (50%)
> 2-Annoyed (40%)
> 3-Sad (5%)
> 4- Unknown (5%)
>
> Can someone direct me to right resources.
This is an area of active research... current methods appear to be "promising", not reliable. If you can create such
a library that is content-accurate to 5%, you will be famous.
-Jeff
