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ISCAS
1999
IEEE

An acoustic-phonetic feature-based system for automatic phoneme recognition in continuous speech

9 years 4 months ago
An acoustic-phonetic feature-based system for automatic phoneme recognition in continuous speech
An acoustic-phonetic feature- and knowledge-based system for the automatic segmentation, broad categorization and fine phoneme recognition of continuous speech is described. The system uses an auditory-based front-end processing and incorporates new knowledge-based algorithms to automatically segments the speech into phoneme-like segments that are further categorized into 4 main categories: sonorants, stops, fricatives and silences. The final outputs from the system are 19 class phonemes which contain 7 stops, 6 fricatives, nasals and semivowels, 4 vowel classes and silences. The system was tested on continuous speech from 30 speakers having 7 different dialects from the TIMIT database which were not used in the design process. The results are 92% accuracy for the segmentation and categorization, 86% for the stop classification, 90% for the fricative classification, 75% for the nasal and semivowel extraction and 82% for the vowel recognition. These results compare favorably with previ...
A. M. Abdelatty Ali, Jan Van der Spiegel, Paul Mue
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where ISCAS
Authors A. M. Abdelatty Ali, Jan Van der Spiegel, Paul Mueller, G. Haentjens, J. Berman
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