Perceptual harmonic cepstral coefficients for speech recognition in noisy environment

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

Volumn 1, Issue , 2001, Pages 125-128

  Gu, L ^a   Rose, K ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HARMONIC WEIGHTED SPECTRUM; MEL-SCALED BAND-PASS FILTERING; PERCEPTUAL HARMONIC CEPSTRAL COEFFICIENTS;

ALGORITHMS; BANDPASS FILTERS; COSINE TRANSFORMS; DISCRETE FOURIER TRANSFORMS; FEATURE EXTRACTION; SIGNAL TO NOISE RATIO; SPEECH ANALYSIS; SPEECH PROCESSING; WHITE NOISE;

SPEECH RECOGNITION;

EID: 0034841228     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Comparison of parametric representations for monosyllabic word recognition in continuous spoken sentences
2. Perceptual linear predictive (PLP) analysis of speech
3. AM-demodulation of speech spectra and its application to noise robust speech recognition
4. Perceptual harmonic cepstral coefficients as the front-end for speech recognition
5. A spectrally mixed excitation (SMX) vocoder with robust parameter determination
6. Frequency-domain spectral envelope estimation for low rate coding of speech
7. Spectral signal processing for ASR
8. A digital filter bank for spectral matching