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Reverberation Time Estimation for Speech Processing Applications

Authors:
Heinrich W. Löllmann and Peter Vary
Book Title:
Proceedings of the International Conference on Acoustics, including the 35th German Annual Conference on Acoustics (DAGA)
Venue:
Rotterdam, The Netherlands
Event Date:
0.-0.3.2009
Organization:
DAGA
Date:
Mar. 2009
Pages:
1655–1658
ISBN:
978-3-98086-596-8
Language:
English

Abstract

The reverberation time (RT) is an important measure for the characterization of reverberant environments, which can be determined by different acoustical measurement methods. However, they use mostly a special measurement setup and dedicated excitation signals, which is inapplicable for most speech processing algorithms requiring knowledge about the RT. In this contribution, a new method is devised, which allows to estimate the RT from noisy observations. It is based on a maximum likelihood (ML) estimation which is derived from a statistical model of the sound decay in reverberant and noisy enclosures. This allows to determine the RT from a measured sound decay (or room impulse response) in the presence of noise. It is also shown, how the ML estimator can be used to determine the RT blindly from a noisy and reverberant speech signal. This blind RT estimation can be employed for the enhancement of noisy and reverberant speech signals.

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