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