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Re: your mail

Dear Laszlo and List,

If detection and classiofication of voiced vs. unvoiced segments plays a
central role in algorithmic speech recognition, and if this classification
is based on distinguishing the pitched vs. noisy parts of the signal, then
such algorithms wouldn't be able to understand whispered speech, which is
an easy task for humans.  So the voiced/unvoiced distinction must be
capable of being made on some criteria other than pitched/noisy (maybe the
presence or absence of strong low-frequency formants?).

Any comments?

- Al

Albert S. Bregman,  Professor,  Dept of Psychology,  McGill University
1205  Docteur Penfield Avenue,   Montreal,  Quebec,  Canada   H3A 1B1.
Phone: +1 514-398-6103 Fax: -4896  Email: bregman@hebb.psych.mcgill.ca
Lab Web Page: http://www.psych.mcgill.ca/labs/auditory/laboratory.html

On Thu, 5 Nov 1998 tothl@INF.U-SZEGED.HU wrote:

> Dear List,
> there is a vast literature on estimating pitch based on simulations of
> auditory processing. However, there seems to be much less information about
> how to discriminate pitched and not pitched (noise-like) parts of a signal.

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