Library Services | Technical University of Kenya

Your cart is empty.
Normal view MARC view ISBD view

Digital Speech Processing Using Matlab [electronic resource] / by E. S. Gopi.

By: Gopi, E. S [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Signals and Communication Technology: Publisher: New Delhi : Springer India : Imprint: Springer, 2014Description: XVI, 182 p. 103 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9788132216773.Subject(s): Engineering | Optical pattern recognition | Biomedical engineering | Engineering | Signal, Image and Speech Processing | Pattern Recognition | Biomedical EngineeringDDC classification: 621.382 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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.

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.

There are no comments for this item.

Log in to your account to post a comment.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue