Advances in Non-Linear Modeling for Speech Processing

Raghunath S. Holambe, Mangesh S. Deshpande

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English

Springer-Verlag New York Inc.
21 February 2012

Imaging systems & technology; Natural language & machine translation; Speech recognition

Series: SpringerBriefs in Speech Technology

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.

By: Raghunath S. Holambe, Mangesh S. Deshpande
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: 2012
Dimensions: Height: 235mm, Width: 155mm, Spine: 6mm
Weight: 454g
ISBN: 9781461415046
ISBN 10: 1461415047
Series: SpringerBriefs in Speech Technology
Pages: 102
Publication Date: 21 February 2012
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

From the Contents: Speech production mechanism.- Linear speech production model.- Nonlinearity in speech production.- Nonlinear dynamic system model.- Speech perception mechanism.- Summary.- Autoregressive models.- Linear autoregressive model.- Nonlinear autoregressive model.- Nonlinear measurement and modeling using Teager energy operator.- Teager energy operator (TEO).- Vocal tract aeroacoustic flow.- Energy measurement.- Energy separation.- Noise suppression using TEO.