NDLI: On optimal modelling of speech spectral transitions

Content Provider	IEEE Xplore Digital Library
Author	Athaudage, C.R.N. Lech, M.
Copyright Year	2003
Description	Author affiliation: ARC Special Res. Center for Ultra-Broadband Inf. Networks, Melbourne Univ., Vic., Australia (Athaudage, C.R.N.)
Abstract	In this paper, we propose an optimal spectral transition modelling technique for speech. The proposed technique optimizes the spectral interpolation trajectory by minimizing the mean-square-error of spectral parameters on a frame-by-frame basis. The performance of the proposed techniques is compared with that of two spectral interpolation techniques, namely the linear interpolation and the Gaussian interpolation, reported in literature. Line spectral frequencies are used as the short-term spectral parameter representation of the speech signal. The regions between maximally stable (stationary) frames in the spectral parameter sequence are identified as the regions of spectral transitions. Numerical results show that both linear and Gaussian interpolation techniques have similar modelling performance in terms of average spectral distortion. The proposed optimal technique shows an improved modelling accuracy in terms of average spectral distortion (up to 1 dB improvement), in comparison to that of the linear and Gaussian techniques. The proposed technique can be useful for speech processing applications such as coding and recognition.
Sponsorship	Microsoft Res. Asia Singapore Exhibition and Convention Bureau
Starting Page	1330
Ending Page	1334
File Size	325128
Page Count	5
File Format	PDF
ISBN	0780381858
DOI	10.1109/ICICS.2003.1292680
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-15
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Speech processing Speech recognition Filters Speech coding Predictive models Speech synthesis Size measurement Size control Analytical models
Content Type	Text
Resource Type	Article

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