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Phonemic segmentation of fluent speech

Grayden, D.B. ; Scordilis, M.S.

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 1994, Vol.i, p.I/73-I/76 vol.1

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Título:
Phonemic segmentation of fluent speech
Autor: Grayden, D.B. ; Scordilis, M.S.
Assuntos: Acoustic testing ; Automatic speech recognition ; Bayesian methods ; Data mining ; Frequency ; Labeling ; Low pass filters ; Microwave integrated circuits ; Spatial databases ; Speech recognition
É parte de: Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 1994, Vol.i, p.I/73-I/76 vol.1
Descrição: A hierarchical approach to phonemic segmentation of continuous, speaker-independent speech is presented. Each sentence is divided into distinct obstruent and sonorant regions using a Bayesian decision surface. Rules are then used to make context specific corrections with these regions. Finally, finer segmentation is performed using a number of rules specific to obstruent and sonorant boundaries. Around 80% of the boundaries are located with an insertion rate of 12%. The developed system is suitable for use in phoneme recognition and automatic labelling of speech.< >
Editor: IEEE
Idioma: Inglês

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