Active Bibliography

55 The HTK Hidden Markov Model Toolkit: Design and Philosophy – S.J. Young, Sj Young - 1994
112 The Use of Context in Large Vocabulary Speech Recognition – Julian James Odell - 1995
1 Application of Triphone Clustering in Acoustic Modeling for Continuous Speech Recognition in Bengali – Pratyush Banerjee, Gaurav Garg, Pabitra Mitra, Anupam Basu
1 A Bottom-Up Approach For Handling Unseen Triphones In Large Vocabulary Continuous Speech Recognition – Xavier Aubert, Peter Beyerlein, Meinhard Ullrich - 1996
19 Deleted Interpolation And Density Sharing For Continuous Hidden Markov Models – X. D. Huang, Mei-yuh Hwang, Li Jiang, Milind Mahajan - 1996
Creation Of Unseen Triphones From Diphones And Monophones Using A Speech Production Approach – Mats Blomberg, Kjell Elenius
Hidden Markov Model-Based Modelling of Context-Dependent Phonemes Using Decision Tree-Based State Clustering – H. A. Engelbrecht, J. A. Du Preez
4 Analysis Of Acoustic-Phonetic Variations In Fluent Speech Using Timit – Don Sun, Don X. Sun, Li Deng - 1995
Multi-level acoustic modeling for . . . – Hung-an Chang - 2012
5 Hidden Model Sequence Models for Automatic Speech Recognition – Thomas Hain - 2001
1 Hmm State Clustering Across Allophone Class Boundaries – Ze'ev Rivlin, Ananth Sankar, Harry Bratt
9 Continuous Speech Recognition in the WAXHOLM Dialogue System – Nikko Ström - 1996
75 Large Vocabulary Continuous Speech Recognition: a Review – Steve Young - 1996
10 Anxiety-based affective communication for implicit humanmachine interaction – Pramila Rani - 2007
20 An Empirical Study of Machine Learning Techniques for Affect Recognition in Human-Robot Interaction – Changchun Liu, Pramila Rani, Nilanjan Sarkar - 2006
14 A Speech-Based Route Enquiry System Built From General-Purpose Components – Ian Lewin, Martin Russell, David Carter, Sue Browning, Keith Ponting, Stephen Pulman - 1993
Discriminative Complexity Control and Linear Projections for Large Vocabulary Speech Recognition – Xunying Liu - 2005
Investigations on Discriminative Training Criteria Von der Fakultät für Mathematik, Informatik – Und Naturwissenschaften, Der Rheinisch-westfälischen Technischen Hochschule Aachen, Ralf Schlüter, Berichter Universitätsprofessor, Dr. –ing Hermann Ney, Professor Dr, Renato De Mori
21 Data driven Design of HMM Topology for On-Line Handwriting Recognition – Jay J. Lee, Jahwan Kim, Jin H. Kim - 2000