Abstract / truncated to 115 words (read the full abstract)

Audio systems receive the speech signals of interest usually in the presence of noise. The noise has profound impacts on the quality and intelligibility of the speech signals, and it is therefore clear that the noisy signals must be cleaned up before being played back, stored, or analyzed. We can estimate the speech signal of interest from the noisy signals using a priori knowledge about it. A human speech signal is broadband and consists of both voiced and unvoiced parts. The voiced part is quasi-periodic with a time-varying fundamental frequency (or pitch as it is commonly referred to). We consider the periodic signals basically as the sum of harmonics. Therefore, we can pass the noisy ... toggle 4 keywords

microphone array signal processing speech enhancement pitch estimation localization

Information

Author
Karimian-Azari, Sam
Institution
Aalborg Univeristy
Supervisors
Publication Year
2016
Upload Date
Oct. 31, 2016

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