Demisyllable-based HMM spotting for continuous speech recognition
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
The authors describe the acoustic processor of a Spanish continuous speech recognition system based on demisyllable units. The acoustic processor is based on a spotting algorithm which takes as input the unknown utterance, the HMM (hidden Markov model) of the reference demisyllables, and the lexical knowledge in terms of a finite state network. The spotting algorithm is a modified version of the one-step Viterbi algorithm with multiple hypotheses. The output of the system is a lattice of word hypotheses suitable to be parsed by a linguistic analyzer. The proposed acoustic processor was tested using the integers from 0 to 1000 and telephonic numbers in a speaker-independent approach. The results show the good performance of the demisyllable as a recognition unit for the Spanish language and the efficiency of the spotting algorithm.
CitationLleida, E., Nadeu, C., Mariño, J.B., Salavedra, J. Demisyllable-based HMM spotting for continuous speech recognition. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "Proceedings ICASSP 91: 1991 International Conference on Acoustics, Speech and Signal Processing: May 14-17, 1991: Toronto, Canada". Toronto, Ontario: Institute of Electrical and Electronics Engineers (IEEE), 1991, p. 709-712.
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