Robust feature extraction using subband spectral centroid histograms

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

Volumn 1, Issue , 2001, Pages 85-88

  Gajic B ^a   Paliwal, K K ^a  

^a GRIFFITH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CEPSTRAL COEFFICIENTS; FILTERBANK; SUBBAND SPECTRAL CENTROID HISTOGRAMS;

ALGORITHMS; COSINE TRANSFORMS; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; FREQUENCY RESPONSE; MARKOV PROCESSES; MATHEMATICAL MODELS; SIGNAL FILTERING AND PREDICTION; SPEECH ANALYSIS; WHITE NOISE;

SPEECH RECOGNITION;

EID: 0034855184     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Spectral subband centroid features for speech recognition
2. Speaker normalized spectral subband parameters for noise robust speech recognition
3. A study of the effect of adding new dimensions to trajectories in the acoustic space
4. Ear-model derived features for automatic speech recognition
5. Modification of front-end processing for robust speech recognition
6. Auditory models and human performance in tasks related to speech coding and speech recognition
7. Auditory processing of speech signals for robust speech recognition in real-world noisy environments