376 search results - page 10 / 76 » Analysis-by-synthesis features for speech recognition |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The performance of a speech recognition system may be degraded even without any background noise because of the linear or non-linear distortions incurred by recording devices or r...
TASLP
2011
13 years 2 months ago
2011
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an Electro-Magnetic Articulography (EM...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Features derived from Multi-Layer Perceptrons (MLPs) are becoming increasingly popular for speech recognition. This paper describes various schemes for applying these features to ...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Audio segmentation is an essential preprocessing step in several audio processing applications with a significant impact e.g. on speech recognition performance. We introduce a no...