RE: [linux-audio-dev] Re: Speech analysis

Much of the latest speech recognition innovations use neural network technology with back propogation for training and learning. They can be trained to recognize a wide range of voice types and can detect works strung together into normal speech. The input to the neural net is a formant analysis using fft to create the harmonic pattern. With proper arrangment it will even accomodate variances in the speed of speech as well as whether the voice is male or female. It can also return a signal of the inflections made by the speaker. It is an item that has been studied for years in the computer science realm and there is no quick solution to do it well. -----Original Message----- From: linux-audio-dev-bounces(a)music.columbia.edu [mailto:linux-audio-dev-bounces@music.columbia.edu]On Behalf Of Toby Sent: Monday, June 06, 2005 10:07 AM To: linux-audio-dev(a)music.columbia.edu Subject: [linux-audio-dev] Re: Speech analysis Jean-Marc Valin wrote: I see your point. The pauses between every couple of vocal emissions should be measured and taken into consideration in the large picture, just as the accent on each vocal emission, the probability of each sub-emission of representing a given phoneme, etc. Alas, I don't know a thing about voice recognition, except that I can play Chess on my Mac with voice alone. But I haven't booted MacOS X in a while :-D Cheers Toby