ICASSP 2005 Philadelphia

2005 IEEE International Conference on Acoustics, Speech, and Signal Processing

March 18-23, 2005 • Pennsylvania Convention Center/Marriott Hotel • Philadelphia, PA, USA

SP-P14: Feature Extraction and Modeling

Session Type: Poster
Time: Tuesday, March 22, 15:30 - 17:30
Location: CC: Poster 3
Chair: Jeff Bilmes, University of Washington
 
SP-P14.1: TRAINING WIDEBAND ACOUSTIC MODELS USING MIXED-BANDWIDTH TRAINING DATA VIA FEATURE BANDWIDTH EXTENSION
         Michael Seltzer; Microsoft Research
         Alex Acero; Microsoft Research
 
SP-P14.2: MINIMUM PHONEME ERROR BASED HETEROSCEDASTIC LINEAR DISCRIMINANT ANALYSIS FOR SPEECH RECOGNITION
         Bing Zhang; Northeastern University
         Spyros Matsoukas; BBN Technologies
 
SP-P14.3: A STUDY OF AUDITORY MODELING AND PROCESSING FOR SPEECH SIGNALS
         Woojay Jeon; Georgia Institute of Technology
         Biing-Hwang (Fred) Juang; Georgia Institute of Technology
 
SP-P14.4: A WAVELET AND FILTER BANK FRAMEWORK FOR PHONETIC CLASSIFICATION
         Ghinwa Choueiter; Massachusetts Institute of Technology
         James Glass; Massachusetts Institute of Technology
 
SP-P14.5: AUTOMATIC SYLLABLE STRESS DETECTION USING PROSODIC FEATURES FOR PRONUNCIATION EVALUATION OF LANGUAGE LEARNERS
         Joseph Tepperman; University of Southern California
         Shrikanth Narayanan; University of Southern California
 
SP-P14.6: PREDICTING FORMANT FREQUENCIES FROM MFCC VECTORS
         Jonathan Darch; University of East Anglia
         Ben Milner; University of East Anglia
         Xu Shao; University of East Anglia
         Saeed Vaseghi; Brunel University
         Qin Yan; Brunel University
 
SP-P14.7: TONOTOPIC MULTI-LAYERED PERCEPTRON: A NEURAL NETWORK FOR LEARNING LONG-TERM TEMPORAL FEATURES FOR SPEECH RECOGNITION
         Barry Chen; University of California Berkeley
         Qifeng Zhu; University of California Berkeley
         Nelson Morgan; University of California Berkeley
 
SP-P14.8: TOWARDS AN INTELLIGENT ACOUSTIC FRONT-END FOR AUTOMATIC SPEECH RECOGNITION: BUILT-IN SPEAKER NORMALIZATION (BISN)
         Umit Yapanel; University of Colorado at Boulder
         John H. L. Hansen; University of Colorado, Boulder
 
SP-P14.9: QUASI-CONTINUOUS LOCAL CODEBOOK FEATURES FOR MULTILINGUAL ACOUSTIC PHONETIC MODELLING
         Frank Diehl; Universitat Politècnica de Catalunya
         Asunción Moreno; Universitat Politècnica de Catalunya
 
SP-P14.10: GARCH COEFFICIENTS AS FEATURE FOR SPEECH RECOGNITION IN PERSIAN ISOLATED DIGIT
         Mohamad Abdolahi; Amirkabir University of Technology
         Hamidreza Amindavar; Amirkabir University of Technology
 
SP-P14.11: FMPE: DISCRIMINATIVELY TRAINED FEATURES FOR SPEECH RECOGNITION
         Daniel Povey; IBM
         Brian Kingsbury; IBM
         Lidia Mangu; IBM
         George Saon; IBM
         Hagen Soltau; IBM
         Geoffrey Zweig; IBM
 
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