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New basis for recognition, synthesis and compression of a speech
Michael K. Fateev
Our experience in the field of recognition and synthesis of a speech
signal is more than 30 years in total. We have checked up all known
methods of the primary description of a speech signal such as Fourier
Transforming, band filtering, LPC analysis (Linear Predictive Coding),
MFCC (Mel Frequency Cepstral Coefficients) and others. All these kinds
of description depend on such individual factors as timbre of voice,
position of the phoneme, intonation etc. Last year we managed to
receive the invariant description of a speech signal, which
practically does not depend on these variances and corresponds to the
description which the human ear uses. As far as we know, no one has
received such results before.
To show opportunities of this description we have developed the
software demo-version ensuring recognition of six Russian vowels.
These best-in-the-world results in recognition of separate phonemes
demonstrates SpeechViewer of IBM (http://www.IBM.com).
To objectively estimate parameters SpeechViewer it is necessary to
consult with those who use this program (school for deafs). If you are
an individual with good hearing, after long and complex procedure of
selecting your voice samples, the software can distinguish your
phonemes quite enough. However, if in you try again to test the same
software some time later, the accuracy of recognition may have sharply
decreased. When a deaf person works with the software (children in
particular), it often perceives the bad sound as good and on the
Our demo-version (http://www.sounddescription.webjump.com) is a game,
which is as though a continuation of a set of SpeechViewer, but its
characteristics are unattainable for the competitor. This software
distinguishes phonemes without special samples for your voice. The
accuracy of our product requires only a single version of phonemes to
be stored in order to assess arbitrary reported speech of any
announcer including children and whispered speech.
Our product not only distinguishes phonemes, as is done by
competitors, but determines quality of your pronunciation. For
increased passion and for demonstration of opportunities the game is
made in such a manner that it is very difficulty to receive high
scores even for good announcers.
Our Email: email@example.com.