Syllable-based stochastic models for continuous speech recognition

G. Ruske; Walter Weigel

doi:10.1007/978-3-642-76626-8_21

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Syllable-based stochastic models for continuous speech recognition

G. Ruske Walter Weigel

Year: 1992 Pages: 193-198

DOI: 10.1007/978-3-642-76626-8_21

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Keywords:

Perplexity Syllabic verse Speech recognition Computer science Speech segmentation Segmentation Syllable Sentence Artificial intelligence Natural language processing Word (group theory) Hidden Markov model Word recognition Speech processing Linguistics Language model

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0.70

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Topics

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Syllable-based stochastic models for continuous speech recognition

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