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 [BibTeX] [Marc21]
A Spectrogram Model for Enhanced Source Localization and Noise-Robust ASR
Type of publication: Conference paper
Citation: lathoud05c
Booktitle: Proceedings of INTERSPEECH 2005
Year: 2005
Month: 9
Address: Lisbon, Portugal
Note: IDIAP-RR 05-13
Crossref: lathoud-rr-05-13:
Abstract: This paper proposes a simple, computationally efficient 2-mixture model approach to discrimination between speech and background noise. It is directly derived from observations on real data, and can be used in a fully unsupervised manner, with the EM algorithm. A first application to sector-based, joint audio source localization and detection, using multiple microphones, confirms that the model can provide major enhancement. A second application to the single channel speech recognition task in a noisy environment yields major improvement on stationary noise and promising results on non-stationary noise.
Userfields: ipdinar={2005}, ipdmembership={speech},
Projects Idiap
Authors Lathoud, Guillaume
Magimai.-Doss, Mathew
Mesot, Bertrand
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Total mark: 0
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