Speaker-independent consonant classification with distinctive features
We study the problem of classifying stop and nasal consonants in continuous speech independently of the speaker. We consider some acoustic parameters computed from the auditory spectrogram, and other parameters computed from the speech waveform. The classification algorithm uses a recurrent multi-la...
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| Format: | Others |
| Language: | en |
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McGill University
1991
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| Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60509 |