Title
Relative Transfer Function Identification Using Convolutive Transfer Function Approximation
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.
Year
DOI
Venue
2009
10.1109/TASL.2008.2009576
IEEE Transactions on Audio, Speech & Language Processing
Keywords
Field
DocType
time domain,linear convolution,relative transfer function,relative transfer function identification,convolutive transfer function,ctf approximation,convolutive transfer function approximation,short time frame,multiplicative transfer function,identification method,common rtf identification method,impulse response,transfer function,least squares approximation,analysis of variance,function approximation,speech processing,acoustic noise,adaptive signal processing,speech,fourier transforms,transient response,system identification,probability,speech recognition,reverberation,acoustics,short time fourier transform,convolution,signal to noise ratio,transfer functions,time frequency analysis
Time domain,Impulse response,Optical transfer function,Function approximation,Computer science,Convolution,Short-time Fourier transform,Fourier transform,Speech recognition,Transfer function
Journal
Volume
Issue
ISSN
17
4
1558-7916
Citations 
PageRank 
References 
37
1.20
13
Authors
3
Name
Order
Citations
PageRank
R. Talmon1481.85
Irun R. Cohen229621.62
Sharon Gannot31754130.51