DocumentCode :
54552
Title :
STFT Phase Reconstruction in Voiced Speech for an Improved Single-Channel Speech Enhancement
Author :
Krawczyk, Michal ; Gerkmann, Timo
Author_Institution :
Dept. of Med. Phys., Univ. Oldenburg, Oldenburg, Germany
Volume :
22
Issue :
12
fYear :
2014
fDate :
Dec. 2014
Firstpage :
1931
Lastpage :
1940
Abstract :
The enhancement of speech which is corrupted by noise is commonly performed in the short-time discrete Fourier transform domain. In case only a single microphone signal is available, typically only the spectral amplitude is modified. However, it has recently been shown that an improved spectral phase can as well be utilized for speech enhancement, e.g., for phase-sensitive amplitude estimation. In this paper, we therefore present a method to reconstruct the spectral phase of voiced speech from only the fundamental frequency and the noisy observation. The importance of the spectral phase is highlighted and we elaborate on the reason why noise reduction can be achieved by modifications of the spectral phase. We show that, when the noisy phase is enhanced using the proposed phase reconstruction, instrumental measures predict an increase of speech quality over a range of signal to noise ratios, even without explicit amplitude enhancement.
Keywords :
discrete Fourier transforms; microphones; speech enhancement; STFT spectral phase reconstruction; explicit amplitude enhancement; noise reduction; phase-sensitive amplitude estimation; short-time discrete Fourier transform domain; signal to noise ratio; single microphone signal; single-channel voiced speech enhancement; spectral amplitude; speech quality; Harmonic analysis; Noise; Noise measurement; Speech; Speech enhancement; Time-frequency analysis; Noise reduction; phase estimation; signal reconstruction; speech enhancement;
fLanguage :
English
Journal_Title :
Audio, Speech, and Language Processing, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
2329-9290
Type :
jour
DOI :
10.1109/TASLP.2014.2354236
Filename :
6891278
Link To Document :
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