Abstract
1. Fundamentals of Speech Recognition. 2. The Speech Signal: Production, Perception, and Acoustic-Phonetic Characterization. 3. Signal Processing and Analysis Methods for Speech Recognition. 4. Pattern Comparison Techniques. 5. Speech Recognition System Design and Implementation Issues. 6. Theory and Implementation of Hidden Markov Models. 7. Speech Recognition Based on Connected Word Models. 8. Large Vocabulary Continuous Speech Recognition. 9. Task-Oriented Applications of Automatic Speech Recognition.
Keywords
Speech recognitionComputer scienceHidden Markov modelVocabularyAudio miningSpeech processingWord recognitionAcoustic modelSpeaker recognitionTask (project management)Voice activity detectionVisemeArtificial intelligenceNatural language processingLinguisticsEngineering
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Publication Info
- Year
- 1993
- Type
- book
- Citations
- 7687
- Access
- Closed
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Cite This
Lawrence R. Rabiner,
Biing‐Hwang Juang
(1993).
Fundamentals of speech recognition.
.