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» Analysis-by-synthesis features for speech recognition
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INTERSPEECH
2010
13 years 4 months ago
Impact of lack of acoustic feedback in EMG-based silent speech recognition
This paper presents our recent advances in speech recognition based on surface electromyography (EMG). This technology allows for Silent Speech Interfaces since EMG captures the e...
Matthias Janke, Michael Wand, Tanja Schultz
ESANN
1998
13 years 11 months ago
Speech recognition with a new hybrid architecture combining neural networks and continuous HMM
Abstract. In this paper, we focus on a novel NN/HMM architecture for continuous speech recognition. The architecture incorporates a neural feature extraction to gain more discrimin...
Daniel Willett, Gerhard Rigoll
INTERSPEECH
2010
13 years 4 months ago
Emotion recognition using imperfect speech recognition
This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can c...
Florian Metze, Anton Batliner, Florian Eyben, Tim ...
ICASSP
2009
IEEE
14 years 4 months ago
Extended VTS for noise-robust speech recognition
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
Rogier C. van Dalen, Mark J. F. Gales
ICASSP
2011
IEEE
13 years 1 months ago
Maximum likelihood adaptation of histogram equalization with constraint for robust speech recognition
In this paper, we propose a novel feature space adaptation technique to improve the robustness of speech recognition in noisy environments. Histogram equalization (HEQ) is an effe...
Xiong Xiao, Jinyu Li, Engsiong Chng, Haizhou Li