- Authors:
-
Lotter,
T.
,
Löllmann,
H. W.
,
Vary,
P.
- Book Title:
- Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
- Organization:
- IEEE
- Address:
- Orlando, Florida, USA
- Date:
-
May. 2002
- Language:
- English
Abstract
Summary form only given, as follows. This paper describes an eigendecomposition based approach to estimate the direction of arrival (DOA) of speech or noise sources in a reverberant room using a microphone array. Unitary ESPRIT (estimation of signal parameters by rotational invariance techniques), a DOA estimation algorithm for narrowband signals, is applied to these wideband signals, resulting in DOA estimates for each frequency. A single estimate is then obtained by means of a histogram. The estimated DOAs of the speech source are used to enhance a noisy speech signal by means of a superdirective beamformer. Experiments in a noisy reverberant room showed a higher estimation accuracy, and thus a better speech enhancement performance, at low SNRs compared to other DOA estimation techniques.
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