Fundamentals of speech recognition/
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| Corporate Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Englewood Cliffs, N.J.:
PTR Prentice Hall,
c1993
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| Series: | Prentice Hall signal processing series
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| Subjects: |
Table of Contents:
- 1. Fundamentals of Speech Recognition. 1.2. The Paradigm for Speech Recognition. 1.3. Outline. 1.4. A Brief History of Speech-Recognition Research
- 2. The Speech Signal: Production, Perception, and Acoustic-Phonetic Characterization. 2.2. The Speech-Production Process. 2.3. Representing Speech in the Time and Frequency Domains. 2.4. Speech Sounds and Features. 2.5. Approaches to Automatic Speech Recognition by Machine
- 3. Signal Processing and Analysis Methods for Speech Recognition. 3.2. The Bank-of-Filters Front-End Processor. 3.3 Linear Predictive Coding Model for Speech Recognition. 3.4. VectorQuantization. 3.5. Auditory-Based Spectral Analysis Models
- 4.Pattern-Comparison Techniques. 4.2. Speech (Endpoint) Detection. 4.3.Distortion Measures - Mathematical Considerations. 4.4. Distortion Measures - Perceptual Considerations. 4.5. Spectral-Distortion Measures. 4.6. Incorporation of Spectral Dynamic Features into the Distortion Measure 4.7. Time Alignment and Normalization.
- 1. Fundamentals of Speech Recognition. 1.2. The Paradigm for SpeechRecognition. 1.3. Outline. 1.4. A Brief History of Speech-RecognitionResearch
- 2. The Speech Signal: Production, Perception, andAcoustic-Phonetic Characterization. 2.2. The Speech-Production Process.2.3. Representing Speech in the Time and Frequency Domains. 2.4. SpeechSounds and Features. 2.5. Approaches to Automatic Speech Recognition byMachine
- 3. Signal Processing and Analysis Methods for SpeechRecognition. 3.2. The Bank-of-Filters Front-End Processor. 3.3. LinearPredictive Coding Model for Speech Recognition. 3.4. VectorQuantization. 3.5. Auditory-Based Spectral Analysis Models
- 4.Pattern-Comparison Techniques. 4.2. Speech (Endpoint) Detection. 4.3.Distortion Measures - Mathematical Considerations. 4.4. DistortionMeasures - Perceptual Considerations. 4.5. Spectral-DistortionMeasures. 4.6. Incorporation of Spectral Dynamic Features into theDistortion Measure. 4.7. Time Alignment and Normalization.