Connectionist Probability Estimation in HMM Speech Recognition (1992)

by Steve Renals , Nelson Morgan
Venue:IEEE Transactions on Speech and Audio Processing
Citations:61 - 16 self

Active Bibliography

1 Divide and Conquer: Pattern Recognition using Mixtures of Experts – Steve Waterhouse, Steve Waterhouse - 1997
1 USING AUXILIARY SOURCES OF KNOWLEDGE FOR AUTOMATIC SPEECH RECOGNITION – Mathew Magimai Doss - 2005
4 Data Selection and Model Combination in Connectionist Speech Recognition – Gary David Cook - 1997
193 An Application of Recurrent Nets to Phone Probability Estimation – Tony Robinson - 1994
170 Hidden Markov processes – Yariv Ephraim, Neri Merhav - 2002
35 Classification and Regression using Mixtures of Experts – Steven Richard Waterhouse - 1997
Speech Recognition – Ausgefuhrt Am, Abteilung Fur Wahrscheinlichkeitstheorie, Andreas Weingessel, Wien Im Mai - 1994
4 Speech Processing with Linear and Neural Network Models – Tina-Louise Burrows - 1996
4 Multi-stream Processing for Noise Robust Speech Recognition – Hemant Misra - 2006
12 On Supervised Learning From Sequential Data With Applications For Speech Recognition – Michael Schuster - 1999
2 A survey on automatic speech recognition with an illustrative example on continuous speech recognition – Chin-hui Lee, Biing-hwang Juang - 1996
9 Phonetic Context-Dependency In a Hybrid ANN/HMM Speech Recognition System – Daniel Jeremy Kershaw - 1997
5 Hidden Model Sequence Models for Automatic Speech Recognition – Thomas Hain - 2001
2 A Gaussian Mixture Model Spectral Representation for Speech Recognition – Matthew Nicholas Stuttle - 2003
2 The State Based Mixture of Expert HMM with Applications to the Recognition of Spontaneous Speech – Andreas Tuerk - 2001
The Free Speech Journal, Issue 5(1997) – Published All Rights
27 Phoneme Probability Estimation with Dynamic Sparsely Connected Artificial Neural Networks – Nikko Ström - 1997
3 Robust Automatic Speech Recognition With Unreliable Data – Ljubomir Josifovski - 1999
LINEAR TRANSFORMS IN AUTOMATIC SPEECH RECOGNITION: ESTIMATION PROCEDURES AND INTEGRATION OF DIVERSE ACOUSTIC DATA – Stavros Tsakalidis