Tutorial and Research Workshop on
Noise Suppression and Acoustic Model Controlled Loudness Mean Normalization in an Auditory-Based Acoustic Front-End
J. Verhasselt, H. Vereecken, J-P. Martens University of Gent Belgium
Improving ASR Performance for Reverberant Speech
B. Kingsbury, N. Morgan, S. Greenberg ICSI & University of Berkeley U.S.A.
Intelligibility Improvements Obtained by an Enhancement Method Applied to Speech Corrupted by Noise and Reverberation
P. Shields, D. Campbell University of Paisley Scotland U.K.
Robust Speech Recognition Based on Multi-Stream Features
H. Bourlard, S. Dupont, C. Ris Faculte Polytechnique de Mons Belgium
Application of VTS to Environment Compensation with Noise Statistics
N. Kim, D. Kim, B. Kong, S. Kim Samsung Advance Institute of Technology Korea
Multi-Stream Classifiers and Syllable-Length Temporal Evidence in Handling Unkown Sources of Non-Linguistic Information
H. Hermansky OGI U.S.A.
Noise Robust HMM-Based Speech Recognition Using Segmental Cepstral Feature Vector Normalization
O. Viikki, K. Laurila Nokia Research Center Finland
Wavelet-Based Noise Reduction for Speech Recognition
E. Bernstein, W. Evans The Mitre Corporation U.S.A.
A Unified Parametrization Scheme for Noisy Speech Recognition
J. Hernando, C. Nadeu UPC Barcelona, Spain
Channel Normalization Using Phase-Corrected RASTA
J. de Veth, L. Boves University of Nijmegen The Netherlands
A Multi-Microphone Sub-Band Adaptive Speech Enhancement System Employng Diverse Sub-Band Processing
A. Hussein, D. Campbell, T. Moir University of Paisley Scotland, U.K.
Comparison of Algorithms for Microphone Equalization Techniques in Continuous Speech Recognition
C. Vair, N. Chiminelli, L. Fissore, G. Micca CSELT Italy
Cepstral Compensation using Statistical Linearization
B. Raj, E Gouvêa, R. Stern CMU U.S.A.
Robust Vector Quantization for Noisy Channels Using a Self-Organizing Pseudo-Map
A. Amraoui, P. Dufour University of Mons-Hainaut Belgium
Improving Robustness in HMM Based Speech Recognition Through Simultaneous Frequency Warping and Spectral Shaping.
R. Rose, A. Potamianos AT&T U.S.A
Robust Multi-Channel Signal Separation
G. Aydin, Y. Yardimci, A. Cetin University of Bilkent Turkey & University of Minesota U.S.A.
Neural Nets Contribution to Robust HMM Systems
J-B. Puel IRIT France
Robust Error Correction of Continuous Speech Recognition
E. Ringger, J. Allen University of Rochester U.S.A.
Adaptation of Model parameters by HMM Decomposition in Noisy Reverberant Speech
T. Takiguchi, S. Nakamura Q. Huo, K. Shikano Nara Institute of Technology and ATR Japan
Noise Reduction with Spectral Subtraction and Median Filtering for Suppression of Musical Tones
K. Linhard, H. Klemm Daimler Benz Germany
Commercial Speech Recognisers Performance Under Adverse Conditions, A Survey
H. Agaiby, C. Fyfe, S. McGlinchey, T. Moir University of Paisley Scotland U.K.
Automatic Segmentation and Labeling of Speech Recorded in Unkown Noisy Channel Environments
B. Pellom, J. Hansen Duke University, U.S.A.
A User Friendly Remote Speech Input Unit in Spontaneous Speech Translation System
Y. Suh, J. Park, Y. Lee Electronics and Telecommunications Research Institute Korea
Automatic Speech Recognition for Time-Varying Channels
K. Ponting DRA Malvern U.K.
ASR in Highly Non-Stationary Environments Using Adaptive Noise Canceling Techniques
R. Martinez, A. Alvarez V. Nieto, P. Gomez Universidad Politécnica de Madrid Spain
Audio-Visual Talker Localization for Hand-Free Speech Recognition
Harouna Kabre CLIPS Laboratoty, IMAG France
Evaluation of Digit Recognition over the Telephone Network
D. Falavigna, R. Gretter IRST Italy
Hands-Free Speech Recognition in a Noisy and Reverberant Environment
D. Giuliani, M. Matassoni, M. Omologo, P. Svaizer IRST Italy
A Multi-Microphone Sub-Band Adaptive Speech Enhancement System Employing Artificial Neural Network Based Non-Linear Filters
A. Hussein, D. Campbell University of Paisley Scotland, U.K.
Incorporation of Noise Pre-Processing into an Entrenched Speech Recognition System
V. Raman, V. Ramanujam NYNEX U.S.A.
Model Compensation for Additive and Convolutive Noises in Training and Test Data
D. Matrouf, J.L. Gauvain LIMSI France
MUSE: MUltipath Stochastic Equalization: A Theoretical Framework to Combine Equalization and Stochastic Modeling
C. Mokbel CNET France
Robust HMM Architectures for Cellular Phone Speech Recognition
J-B. Puel IRIT France
This site is maintained by Phil Green (p.green@dcs.shef.ac.uk)
Last updated 21st February 1997