DocumentCode :
179859
Title :
An adaptive time-frequency analysis scheme for improved real-time speech enhancement
Author :
Andersen, Kristian Timm ; Moonen, Marc
Author_Institution :
ESAT/STADIUS, KU Leuven, Leuven, Belgium
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
6265
Lastpage :
6269
Abstract :
An adaptive time-frequency analysis scheme is proposed for improved real-time speech enhancement. The proposed scheme uses a filtering of the short-time Fourier transform (STFT) to obtain an adaptive resolution and is computationally efficient, since it uses fast Fourier transforms (FFTs) in the analysis and synthesis filters. Unlike previously suggested methods, the proposed method allows the time-frequency resolution to be chosen independently for each frequency bin. Perfect reconstruction is achieved by calculating the speech enhancement gains based on the adaptive analysis and then applying these to a STFT which is then filtered to allow the causal part of the gains to pass through the synthesis filter. The proposed method is shown to have superior performance compared to a fixed resolution STFT scheme with an equal time delay of 10 ms.
Keywords :
fast Fourier transforms; filtering theory; speech enhancement; time-frequency analysis; FFT; STFT; adaptive time-frequency analysis scheme; fast Fourier transform; filter synthesis; improved real-time speech enhancement; short-time Fourier transform; time 10 ms; time delay; Delays; Real-time systems; Signal resolution; Speech; Speech enhancement; Time-frequency analysis; Adaptive short-time Fourier transform; real-time systems; speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854809
Filename :
6854809
Link To Document :
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