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TASLP
2011
13 years 1 months 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
TASLP
2008
131views more  TASLP 2008»
13 years 6 months ago
Histogram-Based Quantization for Robust and/or Distributed Speech Recognition
Abstract--In a distributed speech recognition (DSR) framework, the speech features are quantized and compressed at the client and recognized at the server. However, recognition acc...
Chia-Yu Wan, Lin-Shan Lee
TASLP
2010
157views more  TASLP 2010»
13 years 1 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
ICASSP
2011
IEEE
12 years 10 months ago
A wavelet-based data imputation approach to spectrogram reconstruction for robust speech recognition
Data imputation approaches for robust automatic speech recognition reconstruct noise corrupted spectral information by exploiting prior knowledge of the relationship between targe...
Shirin Badiezadegan, Richard C. Rose
ICMCS
2009
IEEE
144views Multimedia» more  ICMCS 2009»
13 years 4 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...