Speech Processing in Mobile Environments

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 s...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Rao, K. Sreenivasa (Συγγραφέας), Vuppala, Anil Kumar (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Σειρά:SpringerBriefs in Electrical and Computer Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Rao, K. Sreenivasa.  |e author. 
245 1 0 |a Speech Processing in Mobile Environments  |h [electronic resource] /  |c by K. Sreenivasa Rao, Anil Kumar Vuppala. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a XII, 121 p. 35 illus., 2 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Electrical and Computer Engineering,  |x 2191-8112 
505 0 |a 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. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Computers. 
650 0 |a Electrical engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Information Systems and Communication Service. 
650 2 4 |a Communications Engineering, Networks. 
700 1 |a Vuppala, Anil Kumar.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319031156 
830 0 |a SpringerBriefs in Electrical and Computer Engineering,  |x 2191-8112 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-03116-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)