NDLI: Magnitude-only estimation of handset nonlinearity with application to speaker recognition

Content Provider	IEEE Xplore Digital Library
Author	Quatieri, T.F. Reynolds, D.A. O'Leary, G.C.
Copyright Year	1998
Description	Author affiliation: Lincoln Lab., MIT, Lexington, MA, USA (Quatieri, T.F.)
Abstract	A method is described for estimating telephone handset nonlinearity by matching the spectral magnitude of the distorted signal to the output of a nonlinear channel model, driven by an undistorted reference. This "magnitude-only" representation allows the model to directly match unwanted speech formants that arise over nonlinear channels and that are a potential source of degradation in speaker and speech recognition algorithms. As such, the method is particularly suited to algorithms that use only spectral magnitude information. The distortion model consists of a memoryless polynomial nonlinearity sandwiched between two finite-length linear filters. Minimization of a mean-squared spectral magnitude error, with respect to model parameters, relies on iterative estimation via a gradient descent technique, using a Jacobian in the iterative correction term with gradients calculated by finite-element approximation. Initial work has demonstrated the algorithm's usefulness in speaker recognition over telephone channels by reducing mismatch between high- and low-quality handset conditions.
Starting Page	745
Ending Page	748
File Size	509056
Page Count	4
File Format	PDF
ISBN	0780344286
ISSN	15206149
DOI	10.1109/ICASSP.1998.675372
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telephone sets Iterative algorithms Telephony Nonlinear distortion Degradation Speech recognition Polynomials Nonlinear filters Error correction Jacobian matrices
Content Type	Text
Resource Type	Article

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