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Technical Session -  SP1   
 
Session SP1:    Features for Automatic Speech Recognition I   (Lecture)
Time and Place:    Tuesday, May 12,  3:30 pm - 5:30 pm,  Ballroom 6A
Chair:    K. Paliwal (ATR-ITL, Japan)
 
 
3:30 pm    SP1.1
On the Robust Incorporation of Formant Features into Hidden Markov Models for Automatic Speech Recognition
P. Garner, W. Holmes  (DERA, UK);  
[abstract] [manuscript]
 
3:45 pm    SP1.2
Exploiting Acoustic Feature Correlations by Joint Neural Vector Quantizer Design in a Discrete HMM System
C. Neukirchen, D. Willett, S. Eickeler, S. Müller  (Gerhard-Mercator-University Duisburg, Germany);  
[abstract] [manuscript]
 
4:00 pm    SP1.3
A NN/HMM Hybrid for Continuous Speech Recognition with a Discriminant Nonlinear Feature Extraction
G. Rigoll, D. Willett  (Duisburg University, Germany);  
[abstract] [manuscript]
 
4:15 pm    SP1.4
Incorporating Voice Onset Time to Improve Letter Recognition Accuracies
P. Niyogi, P. Ramesh  (Bell Labs, Lucent Technologies, USA);  
[abstract] [manuscript]
 
4:30 pm    SP1.5
On the Use of Normalized LPC Error Towards Better Large Vocabulary Speech Recognition Systems
R. Chengalvarayan  (Lucent Technologies, USA);  
[abstract] [manuscript]
 
4:45 pm    SP1.6
Use of Periodicity and Jitter as Speech Recognition Features
D. Thomson, R. Chengalvarayan  (Lucent Technologies, USA);  
[abstract] [manuscript]
 
5:00 pm    SP1.7
Accent Type Recognition and Syntactic Boundary Detection of Japanese Using Statistical Modeling of Moraic Transitions of Fundamental Frequency Contours
K. Hirose, K. Iwano  (University of Tokyo, Japan);  
[abstract] [manuscript]
 
5:15 pm    SP1.8
A Novel Feature-Extraction for Speech Recognition Based on Multiple Acoustic-Feature Planes
T. Nitta  (Toshiba Corporation, Japan);  
[abstract] [manuscript]
 
 

SP2 >