Title :
Blind estimation of reverberation time based on the distribution of signal decay rates
Author :
Wen, Jimi Y C ; Habets, Emanuël A P ; Naylor, Patrick A.
Author_Institution :
Dept. of EEE, Imperial Coll. London, London
fDate :
March 31 2008-April 4 2008
Abstract :
The reverberation time is one of the most prominent acoustic characteristics of an enclosure. Its value can be used to predict speech intelligibility, and is used by speech enhancement techniques to suppress reverberation. The reverberation time is usually obtained by analysing the decay rate of (i) the energy decay curve that is observed when a noise source is switched off, and (ii) the energy decay curve of the room impulse response. Estimating the reverberation time using only the observed reverberant speech signal, i.e., blind estimation, is required for speech evaluation and enhancement techniques. Recently, (semi) blind methods have been developed. Unfortunately, these methods are not very accurate when the source consists of a human speaker, and unnatural speech pauses are required to detect and/or track the decay. In this paper we extract and analyse the decay rate of the energy envelope blindly from the observed reverberation speech signal in the short-time Fourier transform domain. We develop a method to estimate the reverberation time using a property of the distribution of the decay rates. Experimental results using simulated and real reverberant speech signals demonstrate the performance of the new method.
Keywords :
Fourier transforms; acoustic signal processing; reverberation; speech processing; observed reverberant speech signal; reverberant speech signals; reverberation time blind estimation; room impulse response; short-time Fourier transform; signal decay rates; speech enhancement techniques; Acoustic noise; Fourier transforms; Frequency estimation; Humans; Microphones; Reverberation; Signal analysis; Speech analysis; Speech enhancement; Time frequency analysis; acoustic signal analysis; blind estimation; reverberation time;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4517613