DocumentCode :
1850525
Title :
System identification and dereverberation of speech signals in the Single-Side-Band transform domain
Author :
Oyzerman, Anna ; Cohen, Israel
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol. Technion City, Haifa, Israel
fYear :
2012
fDate :
27-31 Aug. 2012
Firstpage :
360
Lastpage :
364
Abstract :
Single-Side-Band transform (SSB) is an important real-valued time-frequency representation, often preferred in applications involving speech signals. In this paper, the problems of system identification and dereverberation are addressed using the SSB transform. First, an analytical relation between the input and the output signals is derived in the SSB domain. Then, a system identification routine is formulated for a band-to-band approximation of that relation. Second, the dereverberation problem is addressed, using a statistical model for the acoustic impulse response (AIR) function. Exact and approximate representations of the AIR and the reverberant signal are derived directly in the SSB domain. The performance of the dereverberation algorithm is evaluated as a function of the representation complexity. Finally, the SSB and the short-time Fourier transform (STFT) representations are compared for the application of dereverberation.
Keywords :
Fourier transforms; approximation theory; speech processing; statistical analysis; time-frequency analysis; AIR function; SSB transform; STFT representations; acoustic impulse response function; band-to-band approximation; input signals; output signals; real-valued time-frequency representation; representation complexity; short-time Fourier transform representations; single-side-band transform; single-side-band transform domain; speech signal dereverberation; speech signal system identification; statistical model; Amplitude modulation; Approximation methods; Atmospheric modeling; Signal to noise ratio; Speech; Speech processing; Transforms; Dereverberation; Single-Side-Band Transform; System Identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
ISSN :
2219-5491
Print_ISBN :
978-1-4673-1068-0
Type :
conf
Filename :
6334000
Link To Document :
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