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Book Cover
E-book
Author Holambe, Raghunath S.

Title Advances in non-linear modeling for speech processing / Raghunath S. Holambe, Mangesh S. Deshpande
Published New York : Springer, ©2012

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Description 1 online resource (xiii, 102 pages) : illustrations
Series SpringerBriefs in electrical and computer engineering, 2191-8112
SpringerBriefs in electrical and computer engineering.
Contents 1. Introduction -- 2. Nonlinearity framework in speech processing -- 3. Linear and dynamic system model -- 4. Nonlinear measurement and modeling using teager energy operator -- 5. AM-FM: modulation and demodulation techniques -- 6. Application to speaker recognition
Summary Advances in Non-Linear Modeling for Speech Processing includes advanced topics in non-linear estimation and modeling techniques along with their applications to speaker recognition. Non-linear aeroacoustic modeling approach is used to estimate the important fine-structure speech events, which are not revealed by the short time Fourier transform (STFT). This aeroacostic modeling approach provides the impetus for the high resolution Teager energy operator (TEO). This operator is characterized by a time resolution that can track rapid signal energy changes within a glottal cycle. The cepstral features like linear prediction cepstral coefficients (LPCC) and mel frequency cepstral coefficients (MFCC) are computed from the magnitude spectrum of the speech frame and the phase spectra is neglected. To overcome the problem of neglecting the phase spectra, the speech production system can be represented as an amplitude modulation-frequency modulation (AM-FM) model. To demodulate the speech signal, to estimation the amplitude envelope and instantaneous frequency components, the energy separation algorithm (ESA) and the Hilbert transform demodulation (HTD) algorithm are discussed. Different features derived using above non-linear modeling techniques are used to develop a speaker identification system. Finally, it is shown that, the fusion of speech production and speech perception mechanisms can lead to a robust feature set
Analysis beeldverwerking
image processing
spraak
speech
taal
language
taalwetenschappen
linguistics
kunstmatige intelligentie
artificial intelligence
engineering
Engineering (General)
Techniek (algemeen)
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed January 5, 2018)
Subject Computational linguistics -- Mathematical models
COMPUTERS -- General.
Form Electronic book
Author Deshpande, Mangesh S.
ISBN 9781461415053
1461415055