NDLI: Relative Transfer Function Identification Using Convolutive Transfer Function Approximation

Content Provider	IEEE Xplore Digital Library
Author	Talmon, R. Cohen, I. Gannot, S.
Copyright Year	2006
Abstract	In this paper, we present a relative transfer function (RTF) identification method for speech sources in reverberant environments. The proposed method is based on the convolutive transfer function (CTF) approximation, which enables to represent a linear convolution in the time domain as a linear convolution in the short-time Fourier transform (STFT) domain. Unlike the restrictive and commonly used multiplicative transfer function (MTF) approximation, which becomes more accurate when the length of a time frame increases relative to the length of the impulse response, the CTF approximation enables representation of long impulse responses using short time frames. We develop an unbiased RTF estimator that exploits the nonstationarity and presence probability of the speech signal and derive an analytic expression for the estimator variance. Experimental results show that the proposed method is advantageous compared to common RTF identification methods in various acoustic environments, especially when identifying long RTFs typical to real rooms.
Sponsorship	IEEE Signal Processing Society
Starting Page	546
Ending Page	555
Page Count	10
File Size	1653937
File Format	PDF
ISSN	15587916
Volume Number	17
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transfer functions Function approximation Signal to noise ratio Convolution Least squares approximation Speech enhancement Fourier transforms Speech analysis Adaptive signal processing Analysis of variance system identification Acoustic noise measurement adaptive signal processing array signal processing speech enhancement
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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