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» The limits of speech recognition
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NAACL
1994
13 years 10 months ago
High-Accuracy Large-Vocabulary Speech Recognition Using Mixture Tying and Consistency Modeling
Improved acoustic modeling can significantly decrease the error rate in large-vocabulary speech recognition. Our approach to the problem is twofold. We first propose a scheme that...
Vassilios Digalakis, Hy Murveit
ICASSP
2010
IEEE
13 years 9 months ago
Evaluation of random-projection-based feature combination on speech recognition
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
Tetsuya Takiguchi, Jeff Bilmes, Mariko Yoshii, Yas...
INTERSPEECH
2010
13 years 3 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
INTERSPEECH
2010
13 years 3 months ago
Nonlinear enhancement of onset for robust speech recognition
In this paper we present a novel algorithm called Suppression of Slowly-varying components and the Falling edge of the power envelope (SSF) to enhance spectral features for robust...
Chanwoo Kim, Richard M. Stern
ICASSP
2011
IEEE
13 years 16 days ago
Analysis of phone confusion in EMG-based speech recognition
In this paper we present a study on phone confusabilities based on phone recognition experiments from facial surface electromyographic (EMG) signals. In our study EMG captures the...
Michael Wand, Tanja Schultz