SpringerBriefs in Speech Technology

Advances in Non-Linear Modeling for Speech Processing

Authors: Holambe, Raghunath S., Deshpande, Mangesh S.

  • Nonlinear aspects of speech signals are covered in depth
  • Covers nonlinear modeling techniques from the context of speaker identification
  • New insight is explored to combine the speech production and speech perception systems
see more benefits

Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-1-4614-1505-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-1-4614-1504-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

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.

Table of contents (6 chapters)

  • Introduction

    Holambe, Raghunath S. (et al.)

    Pages 1-9

  • Nonlinearity Framework in Speech Processing

    Holambe, Raghunath S. (et al.)

    Pages 11-25

  • Linear and Dynamic System Model

    Holambe, Raghunath S. (et al.)

    Pages 27-44

  • Nonlinear Measurement and Modeling Using Teager Energy Operator

    Holambe, Raghunath S. (et al.)

    Pages 45-59

  • AM-FM: Modulation and Demodulation Techniques

    Holambe, Raghunath S. (et al.)

    Pages 61-75

Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-1-4614-1505-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-1-4614-1504-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Advances in Non-Linear Modeling for Speech Processing
Authors
Series Title
SpringerBriefs in Speech Technology
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
The Author(s)
eBook ISBN
978-1-4614-1505-3
DOI
10.1007/978-1-4614-1505-3
Softcover ISBN
978-1-4614-1504-6
Series ISSN
2191-737X
Edition Number
1
Number of Pages
XIII, 102
Number of Illustrations and Tables
32 b/w illustrations
Topics