Abstract
The DWS pitch detection algorithm finds the best harmonic relation among the peaks
in the amplitude spectrum of the acoustic signal. It is argued that, for high-pitch
signals, there is relatively little information available in the spectrum compared
to the amount of temporal information that can be obtained from the autocorrelation
function, for instance. This paper describes how the DWS algorithm was applied to
the autocorrelation function and how the results from the frequency and time domains
were combined to obtain a more reliable pitch estimate.
Original language | English |
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Pages (from-to) | 14-19 |
Journal | IPO Annual Progress Report |
Volume | 18 |
Publication status | Published - 1983 |