Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!usc!elroy.jpl.nasa.gov!ames!ucsd!sdcc6!sdcc13!gbell
From: gbell@sdcc13.ucsd.edu (Greg Bell)
Newsgroups: comp.dsp
Subject: Re: Autocorrelation Pitch Tracker
Message-ID: <18057@sdcc6.ucsd.edu>
Date: 7 Apr 91 07:40:18 GMT
References: <78395@bu.edu.bu.edu> <1991Apr6.062906.11886@cs.cmu.edu> <51258@apple.Apple.COM>
Sender: news@sdcc6.ucsd.edu
Organization: University of California, San Diego
Lines: 29

In article <51258@apple.Apple.COM> malcolm@Apple.COM (Malcolm Slaney) writes:
>
>Everybody here has really been talking about periodicity detectors and NOT
>pitch detection.
>

I agree except that the text I'm using uses the two terms
interchangably.  Maybe for a speech signal, the frequency and pitch
are the same.  I'm flying by the seat of my pants on that one, but
that would explain it.

The segment to be presented to the ear is, of course, a lot longer
than the 30mS of signal I'm processing at a time.  But, its
neccessary to process each chunk so that you know when the original
signal's pitch changes, or when it becomes pitchless (ie. an
unvoiced sound such as "s").

By the way, since I keep mentioning the book I'm using, I might as
well give it credit:  its Practical Approaches to Speech Coding by
Panos E. Papamichalis.  

I'll check out your recommendation for the pitch detection book.


-- 
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  Who:  Greg Bell                            Address:  gbell@ucsd.edu
 What:  EE hobbyist and major                  Where:  UC San Diego
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