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» The limits of speech recognition
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ICPR
2006
IEEE
14 years 9 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
NIPS
2001
13 years 10 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
TSD
2004
Springer
14 years 2 months ago
Automatic Recognition and Evaluation of Tracheoesophageal Speech
Tracheoesophageal (TE) speech is a possibility to restore the ability to speak after laryngectomy, i.e. the removal of the larynx. TE speech often shows low audibility and intellig...
Tino Haderlein, Stefan Steidl, Elmar Nöth, Fr...
SPEECH
2008
79views more  SPEECH 2008»
13 years 8 months ago
Adapting speaking after evidence of misrecognition: Local and global hyperarticulation
In this paper we examine the two-way relationship between hyperarticulation and evidence of misrecognition of computer-directed speech. We report the results of an experiment in w...
Amanda Stent, Marie K. Huffman, Susan E. Brennan
CISIS
2009
IEEE
14 years 3 months ago
Pervasive Informatics and Persistent Actimetric Information in Health Smart Homes: From Language Model to Location Model
—This paper presents an approach of location model deriving from language models existing in speech recognition research. The purpose is to applicate existing model in speech rec...
Yannick Fouquet, Jacques Demongeot, Nicolas Vuille...