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Digital Speech Processing Using Matlab
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Artikel-Nr:
9788132216773
Veröffentl:
2013
Einband:
eBook
Seiten:
182
Autor:
E. S. Gopi
Serie:
Signals and Communication Technology
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
This book examines speech and speaker pattern recognition, speech synthesis, compression and enhancement. Feature extraction techniques, probabilistic models, dimensionality reduction techniques and classifier techniques are demonstrated using Matlab®.
Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression. The book is written in a manner that is suitable for beginners pursuing basic research in digital speech processing. Matlab illustrations are provided for most topics to enable better understanding of concepts. This book also deals with the basic pattern recognition techniques (illustrated with speech signals using Matlab) such as PCA, LDA, ICA, SVM, HMM, GMM, BPN, and KSOM.
Pattern Recognition for Speech Detection.- Speech Production Model.- Feature Extraction of the Speech Signal.- Speech Compression.- Appendix A: Constrained Optimization using Lagrangian Techniques.- Appendix B: Expectation-Maximization Algorithm.- Appendix C: Diagonalization of the Matrix.- Appendix D: Condition Number.- Appendix E: Spectral Flatness.- Appendix F: Functional Blocks of the Vocal Tract and the Ear.