Cantitate/Preț
Produs
Total produse
Vezi coșul
Digital Speech Processing Using Matlab de E. S. Gopi

Digital Speech Processing Using Matlab: Signals and Communication Technology

Autor E. S. Gopi
en Limba Engleză Hardback – 18 dec 2013
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 62281 lei  6-8 săpt.
  Springer India – 27 aug 2016 62281 lei  6-8 săpt.
Hardback (1) 62874 lei  6-8 săpt.
  Springer India – 18 dec 2013 62874 lei  6-8 săpt.

Din seria Signals and Communication Technology

Preț: 62874 lei

Preț vechi: 73969 lei
-15% Nou

Puncte Express: 943
Preț estimativ în valută:
12033€ • 12499$ • 9995£

Carte tipărită la comandă

Livrare economică 04-18 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9788132216766
ISBN-10: 8132216768
Pagini: 200
Ilustrații: XVI, 182 p. 103 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.45 kg
Ediția:2014
Editura: Springer India
Colecția Springer
Seria Signals and Communication Technology

Locul publicării:New Delhi, India

Public țintă

Research

Cuprins

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.

Notă biografică

E.S. Gopi has authored four books, of which three have been published by Springer. He has also contributed 3 book chapters to books published by Springer. He has several papers in international journals and conferences to his credit. He has 15 years of teaching and research experience. He is currently Assistant Professor, Department of Electronics and Communication Engineering, National Institute of Technology, Trichy, India. He has 69 citations with h-index 4 (based on Google Scholar). His books are widely used all over the world. His research interests include pattern recognition, digital signal processing and biologically inspired algorithms. The India International Friendship Society (IIFS) has awarded him the “Shiksha Rattan Puraskar Award” for his meritorious services in the field of education. The award was presented by Dr. Bhishma Narain Singh, former Governor, Assam and Tamil Nadu, India. He is also awarded with the "Glory of India Gold Medal" by International Institute ofSuccess Awareness. This award was presented by Shri Syed Sibtey Razi, former Governor of Jharkhand, India. He was also awarded with "Best Citizens of India 2013" by The International Publishing House.

Textul de pe ultima copertă

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.

Caracteristici

Useful to beginners doing research in speech processing Explains basic concepts of speech processing using Matlab illustrations Helps the reader to understand the concepts better Uses Matlab illustrations throughout to demonstrate speech processing techniques such as Mel frequency cepstral coefficients, hidden Markov model, and artificial neural network Includes supplementary material: sn.pub/extras