Automatic Speech Recognition The Development of the SPHINX System
Speech Recognition has a long history of being one of the difficult problems in Artificial Intelligence and Computer Science. As one goes from problem solving tasks such as puzzles and chess to perceptual tasks such as speech and vision, the problem characteristics change dramatically: knowledge poo...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer US
1989, 1989
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| Edition: | 1st ed. 1989 |
| Series: | The Springer International Series in Engineering and Computer Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction
- 2. Hidden Markov Modeling of Speech
- 3. Task and Databases
- 4. The Baseline SPHINX System
- 5. Adding Knowledge
- 6. Finding a Good Unit of Speech
- 7. Learning and Adaptation
- 8. Summary of Results
- 9. Conclusion
- Appendix I. Evaluating Speech Recognizers
- I.1. Perplexity
- I.2. Computing Error Rate
- Appendix H. The Resource Management Task
- II.1. The Vocabulary and the SPHINX Pronunciation Dictionary
- II.2. The Grammar
- II.3. Training and Test Speakers
- Appendix III. Examples of SPHINX Recognition
- References