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» Emotion recognition using imperfect speech recognition
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ICASSP
2010
IEEE
14 years 4 months ago
Search error risk minimization in Viterbi beam search for speech recognition
This paper proposes a method to optimize Viterbi beam search based on search error risk minimization in large vocabulary continuous speech recognition (LVCSR). Most speech recogni...
Takaaki Hori, Shinji Watanabe, Atsushi Nakamura
ICASSP
2009
IEEE
15 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
TSD
2010
Springer
14 years 7 months ago
Hybrid HMM/BLSTM-RNN for Robust Speech Recognition
The question how to integrate information from different sources in speech decoding is still only partially solved (layered architecture versus integrated search). We investigate t...
Yang Sun, Louis ten Bosch, Lou Boves
ICASSP
2009
IEEE
15 years 4 months ago
Maximizing global entropy reduction for active learning in speech recognition
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
ICASSP
2010
IEEE
14 years 10 months ago
VTLN adaptation for statistical speech synthesis
The advent of statistical speech synthesis has enabled the unification of the basic techniques used in speech synthesis and recognition. Adaptation techniques that have been succ...
Lakshmi Saheer, Philip N. Garner, John Dines, Hui ...