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» The limits of speech recognition
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TASLP
2008
131views more  TASLP 2008»
13 years 8 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
CSL
2004
Springer
13 years 8 months ago
Factor analysed hidden Markov models for speech recognition
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
Antti-Veikko I. Rosti, M. J. F. Gales
LREC
2008
136views Education» more  LREC 2008»
13 years 10 months ago
Design and Recording of Czech Audio-Visual Database with Impaired Conditions for Continuous Speech Recognition
In this paper we discuss the design, acquisition and preprocessing of a Czech audio-visual speech corpus. The corpus is intended for training and testing of existing audio-visual ...
Jana Trojanová, Marek Hrúz, Pavel Ca...
IJCAI
1989
13 years 10 months ago
Layering Predictions: Flexible Use of Dialog Expectation in Speech Recognition
entional user behavior, we need a principled mannerAbstract for relaxing contextual constraints when they are violated.When computer speech recognition is used for problem In order...
Sheryl R. Young, Wayne H. Ward, Alexander G. Haupt...
INTERSPEECH
2010
13 years 3 months ago
Data pruning for template-based automatic speech recognition
In this paper we describe and analyze a data pruning method in combination with template-based automatic speech recognition. We demonstrate the positive effects of polishing the t...
Dino Seppi, Dirk Van Compernolle