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» Magnitude spectrum enhancement for robust speech recognition
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ICMCS
2006
IEEE
86views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Robust Speaker Recognition using SNR-Aware Subspace-Based Enhancement and Probabilistic SVMs
In this paper, we present a robust text-independent speaker recognition system. The proposed system mainly includes an SNR-aware subspace-based enhancement technique and probabili...
Jia-Ching Wang, Jhing-Fa Wang, Wai-He Kuok, Hsiao ...
ICASSP
2009
IEEE
15 years 4 months ago
A criterion for the enhancement of time-frequency masks in missing data recognition
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
Daniel Pullella, Roberto Togneri
INTERSPEECH
2010
14 years 4 months ago
On the potential of glottal signatures for speaker recognition
Most of current speaker recognition systems are based on features extracted from the magnitude spectrum of speech. However the excitation signal produced by the glottis is expecte...
Thomas Drugman, Thierry Dutoit
TASLP
2010
157views more  TASLP 2010»
14 years 4 months ago
HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Bengt J. Borgstrom, Abeer Alwan
DAGM
2008
Springer
14 years 11 months ago
Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition
Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We compare two different Kalman fi...
Björn Schuller, Martin Wöllmer, Tobias M...