A Spectrogram Model for Enhanced Source Localization and Noise-Robust ASR
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.
- URL: http://publications.idiap.ch/downloads/papers/2005/lathoud05c.pdf
- Related documents: http://publications.idiap.ch/index.php/publications/showcite/lathoud-rr-05-13
Record created on 2006-03-10, modified on 2016-08-08