|
45
|
Connectionist Probability Estimation in HMM Speech Recognition
– Steve Renals, Nelson Morgan
- 1992
|
|
2
|
A survey on automatic speech recognition with an illustrative example on continuous speech recognition
– Chin-hui Lee, Biing-hwang Juang
- 1996
|
|
165
|
An Application of Recurrent Nets to Phone Probability Estimation
– Tony Robinson
- 1994
|
|
8
|
Phonetic Context-Dependency In a Hybrid ANN/HMM Speech Recognition System
– Daniel Jeremy Kershaw, St. John's College
- 1997
|
|
3117
|
A tutorial on hidden markov models and selected applications in speech recognition
– Lawrence R. Rabiner
- 1989
|
|
4
|
Hidden semi-Markov models
– Shun-zheng Yu
- 2010
|
|
3
|
Data Selection and Model Combination in Connectionist Speech Recognition
– Gary David Cook
- 1997
|
|
93
|
Hidden Markov processes
– Yariv Ephraim, Neri Merhav
- 2002
|
|
47
|
Support vector machines for speech recognition
– Aravind Ganapathiraju, Jonathan Hamaker, Joseph Picone
- 1998
|
|
27
|
Statistical Trajectory Models for Phonetic Recognition
– William David Goldenthal
- 1994
|
|
21
|
What HMMs can do
– Jeff Bilmes
- 2002
|
|
21
|
Probabilistic-trajectory Segmental HMMs. Computer Speech and Language
– Wendy J. Holmes, Martin J. Russell
- 1999
|
|
39
|
Lexical Modeling in a Speaker Independent Speech Understanding System
– Charles Clayton Wooters
- 1993
|
|
14
|
Discriminative Training of Hidden Markov Models
– Sadik Kapadia
- 1998
|
|
2
|
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
– Seyoung Kim, Padhraic Smyth, Sam Roweis
|
|
1
|
Efficient high-order hidden Markov modelling
– Johan A. Du Preez, Promoters Dr. E. Barnard, Dr. D. M. Weber
- 1998
|
|
49
|
Graphical models and automatic speech recognition
– Jeffrey A. Bilmes
- 2003
|
|
|
Extending the standard Hidden Markov Models to include local time correlation in speech data - A summary of literature review
– K. K. Chin
- 1999
|
|
19
|
Using Self-Organizing Maps and Learning Vector Quantization for Mixture Density Hidden Markov Models
– Mikko Kurimo
- 1997
|