Advances in Non-Linear Modeling for Speech Processing

Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing
Cover of the book Advances in Non-Linear Modeling for Speech Processing by Mangesh S. Deshpande, Raghunath S. Holambe, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Mangesh S. Deshpande, Raghunath S. Holambe ISBN: 9781461415053
Publisher: Springer New York Publication: February 21, 2012
Imprint: Springer Language: English
Author: Mangesh S. Deshpande, Raghunath S. Holambe
ISBN: 9781461415053
Publisher: Springer New York
Publication: February 21, 2012
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Therapeutic Outcome of Endocrine Disorders by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Perinatal and Prenatal Disorders by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Spontaneous Alternation Behavior by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Getting the Most out of Your Mentoring Relationships by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Power Scaling of Enhancement Cavities for Nonlinear Optics by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Posterior Cruciate Ligament Injuries by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Electron Lenses for Super-Colliders by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Colorectal Cancer Screening by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Essentials of Orthopedic Surgery by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Technology Innovations for Behavioral Education by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Hot Stove Economics by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book Genetic Programming Theory and Practice X by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book The Allegheny Woodrat by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book The Aging Auditory System by Mangesh S. Deshpande, Raghunath S. Holambe
Cover of the book The Psychology of Expertise by Mangesh S. Deshpande, Raghunath S. Holambe
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy