Referenced Items are not available for this document.
The speech signal is decomposed through adapted local trigonometric transforms. The decomposed signal is classified by M uniform sub-bands for each subinterval. The energy of each sub-band is used as a speech feature. This feature is applied to vector quantisation and the hidden Markov model. The new speech feature shows a slightly better recognition rate than the cepstrum for speaker independent speech recognition. The new speech feature also shows a lower standard deviation between speakers than does the cepstrum
Published in:
Electronics Letters
(Volume:34
,
Issue:
23
)
Date of Publication: 12 Nov 1998
- Page(s):
- 2211 - 2213
- ISSN :
- 0013-5194
- INSPEC Accession Number:
- 6106086
- Digital Object Identifier :
- 10.1049/el:19981486
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- 12 Nov 1998
- Sponsored by :
- Institution of Engineering and Technology
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