Robust Speech Spectra Restoration against Unspecific Noise Conditions for Pitch Detection

Xin XU  Noboru HAYASAKA  Yoshikazu MIYANAGA  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E91-A   No.3   pp.775-781
Publication Date: 2008/03/01
Online ISSN: 1745-1337
DOI: 10.1093/ietfec/e91-a.3.775
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Speech and Hearing
Keyword: 
ARSF,  noise robust,  pitch detection,  modulation spectra,  

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Summary: 
This paper proposes a new algorithm named Adaptive Running Spectrum Filtering (ARSF) to restore the amplitude spectra of speech corrupted by additive noises. Based on the pre-hand noise estimation, adaptive filtering is used in speech modulation spectra according to the noise conditions. The periodic structures in the amplitude spectra are kept against noise distortion. Since the amplitude spectral structures contain the information of fundamental frequency, which is the inverse of pitch period, ARSF algorithm is added into robust pitch detection to increase the accuracy. Compared with the conventional methods, experimental results show that the proposed method significantly improves the robustness of pitch detection against noise conditions with several types and SNRs.