Noise Robust Pitch Tracking by Subband Autocorrelation Classification

Abstract

A neural net classifier is trained to identify the pitch of a frame of subband autocorrelation principal components. Accuracy is greatly improved for noisy, bandlimited speech, matched to the training data

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This paper was published in Columbia University Academic Commons.

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