Data-driven temporal filters for robust features in speech recognition obtained via minimum classification error (MCE)

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2002, Pages

  Hung, Jeih Weih ^a   Lee, Lin Shan ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE NOISE; LINEAR DISCRIMINANT ANALYSIS; MINIMUM CLASSIFICATION ERROR; TEMPORAL FILTERS;

ACOUSTIC NOISE; FEATURE EXTRACTION; MATHEMATICAL MODELS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; SIGNAL FILTERING AND PREDICTION;

SPEECH RECOGNITION;

EID: 17444450002     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Cepstral analysis technique for automatic speaker verification
2. RASTA processing of speech
3. Data based filter design for RASTA-like channel normalization in ASR
4. Data-driven design of RASTA-like filters
5. Data-driven modulation filter design under adverse acoustic conditions and using phonetic and syllabic units
6. Comparative analysis for data-driven temporal filters obtained via principal component analysis (PCA) and linear discriminant analysis (LDA) in speech recognition
7. Minimum classification error rate methods for speech recognition