I suggest you to get some background in ASR first, read Spoken Language Processing by Huang and others:

 http://dsp-book.narod.ru/SLP1.djvu

 Rabiner's tutorial or even the HTK book.

--- (Edited on 11/19/2007 12:58 pm [GMT-0600] by nsh) ---

Hi Vincent, 

Another good reference/textbook is: 

SPEECH and LANGUAGE PROCESSING: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, By  Daniel Jurafsky and  James H. Martin,

The second edition draft chapters are available for download in pdf format.

You might also look through the archives of comp.speech.research and/or the HTK email archives (you need to be registered with HTK) to see if anyone has already done some work in this area.

Good luck! 

Ken 

--- (Edited on 11/19/2007 2:43 pm [GMT-0500] by kmaclean) ---

There has been quite a bit of research on this.  I suggest you do Google and Google Scholar searches for "language identification" and "language recognition".

Hope this helps,
David 

--- (Edited on 11/20/2007 1:21 pm [GMT-0600] by DavidGelbart) ---

Hi,

I am doing a research on language identification for speech. I have read some papers talking about several approaches I can do. One of them is using GMM (Gaussian Mixture Model). Nevertheless, I have no idea how to apply it to a real experiment. I want to run a small experiment relating to language identification by using GMM. Is there any tutorial I can follow, just like that of speech recognition tutorial on voxforge? I need to experience how to do the experiment. Thanks a million.

regards,

Dara

--- (Edited on 1/18/2010 8:19 am [GMT-0600] by Visitor) ---

For language recognition as well as speaker identificaitona or gender one, generic GMM toolkit could be used. Mistral

http://mistral.univ-avignon.fr/en/

is a good one

--- (Edited on 1/19/2010 13:01 [GMT+0300] by nsh) ---