Robustness in Automatic Speech Recognition: Fundamentals and Applications
Jean-Claude Junqua, Jean‐Paul Haton · 1995
About the authors. Foreword. Preface. Part A: Speech communication by humans and machines. 1. Nature and perception of speech sounds. 2. Background on speech analysis. 3. Fundamentals of automatic speech recognition. Part B: Robustness in ASR: Problems and issues. 4. Speaker variability and specificity. 5. Dealing with noisy speech and channel distortions. Part C: Possible solutions and some perspectives. 6. The current technology and its limits: an overview. 7. Towards robust speech analysis. 8. On the use of a robust speech representation. 9. ASR of noisy, stressed, and channel distorted speech. 10. Word-spotting and rejection. 11. Spontaneous speech. 12. On the use of knowledge in ASR. 13. Application domain, human factors, and dialogue. Appendix. Index.