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4
|
Hidden Model Sequence Models for Automatic Speech Recognition
– Thomas Hain
- 2001
|
|
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USING AUXILIARY SOURCES OF KNOWLEDGE FOR AUTOMATIC SPEECH RECOGNITION
– Mathew Magimai Doss
- 2005
|
|
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Variations on Statistical Phoneme Recognition -- A Hybrid Approach
– Rudolph van der Merwe
- 1997
|
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4
|
A Robust Loose Coupling for Speech Recognition and Natural Language Understanding
– Eric K. Ringger
- 1995
|
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6
|
Techniques for modelling Phonological Processes in Automatic Speech Recognition
– Harriet Jane Nock
- 2001
|
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5
|
Finding Consensus in Speech Recognition
– Lidia Luminita Mangu
- 2000
|
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2
|
Towards A Compact Speech Recognizer: Subspace Distribution Clustering Hidden Markov Model
– Brian Kan-Wing Mak, Etienne Barnard, Enrico Bocchieri, Ronald Cole, Hynek Hermansky
- 1998
|
|
2
|
A survey on automatic speech recognition with an illustrative example on continuous speech recognition
– Chin-hui Lee, Biing-hwang Juang
- 1996
|
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39
|
Lexical Modeling in a Speaker Independent Speech Understanding System
– Charles Clayton Wooters
- 1993
|
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69
|
Markovian Models for Sequential Data
– Yoshua Bengio
- 1996
|
|
7
|
Augmented Statistical Models for Classifying Sequence Data
– Martin Layton
- 2006
|
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10
|
Linear Gaussian models for speech recognition
– Antti-Veikko Ilmari Rosti
- 2004
|
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15
|
Near-Miss Modeling: A Segment-Based Approach to Speech Recognition
– Jane W. Chang
- 1998
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Fuzzy Approaches to Speech . . .
– Dat Tat Tran
- 2000
|
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6
|
Adaptive Training for Large Vocabulary Continuous Speech Recognition
– Kai Yu
- 2006
|
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7
|
Monte Carlo Hidden Markov Models
– Sebastian Thrun, John Langford
- 1998
|
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1
|
Efficient high-order hidden Markov modelling
– Johan A. Du Preez, Promoters Dr. E. Barnard, Dr. D. M. Weber
- 1998
|
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47
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Support vector machines for speech recognition
– Aravind Ganapathiraju, Jonathan Hamaker, Joseph Picone
- 1998
|
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2
|
Structured Precision Matrix Modelling for Speech Recognition
– Khe Chai Sim
- 2006
|
