TY - GEN
T1 - Phoneme classification using naive Bayes classifier in reconstructed phase space
AU - Ye, Jinjin
AU - Povinelli, R. J.
AU - Johnson, M. T.
N1 - Publisher Copyright:
© 2002 IEEE.
PY - 2002
Y1 - 2002
N2 - A novel method for classifying speech phonemes is presented. Unlike traditional cepstral based methods, this approach uses histograms of reconstructed phase spaces. A naive Bayes classifier uses the probability mass estimates for classification. The approach is verified using isolated fricative, vowel, and nasal phonemes from the TIMIT corpus. The results show that a reconstructed phase space approach is a viable method for classification of phonemes, with the potential for use in a continuous speech recognition system.
AB - A novel method for classifying speech phonemes is presented. Unlike traditional cepstral based methods, this approach uses histograms of reconstructed phase spaces. A naive Bayes classifier uses the probability mass estimates for classification. The approach is verified using isolated fricative, vowel, and nasal phonemes from the TIMIT corpus. The results show that a reconstructed phase space approach is a viable method for classification of phonemes, with the potential for use in a continuous speech recognition system.
UR - https://www.scopus.com/pages/publications/84865249224
UR - https://www.scopus.com/pages/publications/84865249224#tab=citedBy
U2 - 10.1109/DSPWS.2002.1231072
DO - 10.1109/DSPWS.2002.1231072
M3 - Conference contribution
AN - SCOPUS:84865249224
T3 - Proceedings of 2002 IEEE 10th Digital Signal Processing Workshop, DSP 2002 and 2nd Signal Processing Education Workshop, SPE 2002
SP - 37
EP - 40
BT - Proceedings of 2002 IEEE 10th Digital Signal Processing Workshop, DSP 2002 and 2nd Signal Processing Education Workshop, SPE 2002
T2 - 10th IEEE Digital Signal Processing Workshop, DSP 2002 and the 2nd IEEE Workshop on Signal Processing Education, SPE 2002
Y2 - 13 October 2002 through 16 October 2002
ER -