Autocorrelation and pitch detection

AI Thread Summary
Autocorrelation is a technique used in pitch detection by comparing an input waveform at various time intervals to identify periodic patterns. While it operates in the time domain, its application in detecting the fundamental frequency of an unknown source raises questions about practical implementation. The discussion highlights interest in using MATLAB for this purpose, emphasizing the need for detailed explanations rather than trivial responses. Resources such as the book "Digital Processing of Speech Signals" by Rabiner and Schafer, as well as online communities like music-dsp and comp.dsp, are suggested for further exploration. Understanding the practical implementation of summation in this context is also sought after.
sathya_rajan
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I have heard that autocorrelation is used in pitch detection, but no proper or convincing explanation of how it is used. I had previously worked on echo removal using autocorrelation. But what puzzles me is that autocorrelation is done in time domain but how can this be used to detect fundamental frequency of some unknown source?
 
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Go to www.google.com

Type in "autocorrelation pitch detection", hit the "I am feeling lucky" button.
 
Floid: I had done that before. The input waveform is compared (autocorrelated) at different time intervals. I don't know whether this can be implemented in practice. I am interested to perform this in matlab. If you have time, then you can explain. Please don't give trivial replies. Thank you.
 
also try joining the music-dsp mailing list or posting to the comp.dsp newsgroup.

also there is a book by Rabiner and Schafer Digital Processing of Speech Signals.

now, do you know how to implement a summation in practice?
 

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