First of all, Thank you very much for your advice. I'm in hurry due to the time limit(within January). Your advice really help me back to my sense thank you.
About Project. It's about to recognize user emotion by using speech as input.
- I've specify input as a 16-bit PCM 22050 Hz Wav file.
- Emotion I need to recognize is neutral happy angry and sad.
- I'll use the pitch information from file (mean , s.d. ,range,frequency)as a training set and testing data.
- When the networks are finish. I'll use it as user interface engine on various platform (Linux,WindowsXP,and Mobile). THat's why I thing that my best choice is Joone that use java as core engine
May be I'm wrong but I think that recognizing speech from computer user is
time series pattern recognition work. That's why I think that Spatio-Temporal paradigm is best match for me.
I'm still only a newbie on AI. I've learn only the basic of neural networks and some simple paradigm like feed forward and basic of multilayer perceptron.
Could you please give me some advice about my project? I'm almost gathered all raw data I need to use. I'll be ready to start training AI within a few weeks.
Thank you for everything,