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CSL
2004
Springer
13 years 5 months ago
A mixed-level switching dynamic system for continuous speech recognition
9 A two-level mixture linear dynamic system model, with frame-level switching parameters in the obser10 vation equation and with segment-level switching parameters in the target-d...
Jeff Z. Ma, Li Deng
DAGM
2008
Springer
13 years 7 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...
ICASSP
2011
IEEE
12 years 9 months ago
Switching linear dynamic transducer for stereo data based speech feature mapping
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...
Chang Woo Han, Tae Gyoon Kang, Doo Hwa Hong, Nam S...
ICMCS
2009
IEEE
144views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Speech control in surgery: A field analysis and strategies
This work introduces a robot driven camera controlled by speech. The SIMIS database of 20 recordings of real life surgical operations serves as basis for analyses and noise modell...
Björn Schuller, Salman Can, Hubertus Feussner...
TASLP
2011
13 years 16 days ago
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition
— 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 ...
Maarten Van Segbroeck, Hugo Van Hamme