Speech Processing in Mobile Environments [electronic resource] /by K. Sreenivasa Rao, Anil Kumar Vuppala.
by Rao, K. Sreenivasa [author.]; Vuppala, Anil Kumar [author.]; SpringerLink (Online service).
Material type:
BookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: Cham : Springer International Publishing : 2014.Description: XII, 121 p. 35 illus., 2 illus. in color. online resource.ISBN: 9783319031163.Subject(s): Engineering | Information systems | Telecommunication | Engineering | Signal, Image and Speech Processing | Information Systems and Communication Service | Communications Engineering, NetworksDDC classification: 621.382 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TA1637-1638 (Browse shelf) | Available | ||||
| TK7882.S65 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | TK5102.9 (Browse shelf) | Available |
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| TK7882.S65 Algorithms for Sparsity-Constrained Optimization | TK7882.S65 Application of Wavelets in Speech Processing | TK7882.S65 Measuring Signal Generators | TK7882.S65 Speech Processing in Mobile Environments | TK7882.S65 Electronic Noise and Interfering Signals | TK7882.S65 Communication Acoustics | TK7882.S65 Wavelets and Signal Processing |
Introduction -- Background and Literature Review -- Vowel Onset Point Detection from Coded and Noisy Speech -- Consonant-Vowel Recognition in Presence of Coding and Background Noise -- Spotting and Recognition of Consonant-Vowel Units from Continuous Speech -- Speaker Identification and Time Scale Modification Using VOPs -- Summary and Conclusions -- MFCC Features -- Speech Orders -- Pattern Recognition Models.
This book focuses on speech processing in the presence of low-bit rate coding and varying background environments. The methods presented in the book exploit the speech events which are robust in noisy environments. Accurate estimation of these crucial events will be useful for carrying out various speech tasks such as speech recognition, speaker recognition and speech rate modification in mobile environments. The authors provide insights into designing and developing robust methods to process the speech in mobile environments. Covering temporal and spectral enhancement methods to minimize the effect of noise and examining methods and models on speech and speaker recognition applications in mobile environments.
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