Abstract: A new technique is presented for the joint recognition and segmentation task formulated for a speaker independent continuous phoneme recognition ...
The Hidden Markov Model (HMM) based phoneme models are trained using the Baum-Welch re-estimation procedure. Recognition and segmentation of the phonemes in the ...
A speaker independent continuous speech phoneme recognition and segmentation system is presented. We discuss the training and recognition phases of the ...
A strictly probabilistic approach for simultaneous phoneme sequence segmentation and recognition is investigated and lays the groundwork for further ...
The Segmental HMM topology essentially models a phonetic symbol string with a double layer Hidden Markov Model (HMM), with each phonetic symbol in the Segmental ...
We investigate a strictly probabilistic approach for simultaneous phoneme sequence segmentation and recognition. The implemented automatic phoneme recognition ...
Automatic continuous speech recognition (CSR) has many potential applications including command and control, dictation, transcription of recorded speech, ...
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This article describes an automatic procedure for the segmentation of speech: given either the linguistic or the phonetic content of a speech utterance, the ...
Continuously variable duration hidden. Markov models for automatic speech recognition. Computer Speech and Lanquaqe. 1 (January): 29-45. Levinson, S.E. 1987 ...
AUTOMATIC SPEECH RECOGNITION EXPERIMENTS USING SEGMENTAL HIDDEN MARKOV MODELS. Authors. WJ HOLMES, MJ RUSSELL. Conference. Autumn Conference 1994.