NDLI: A combined time-varying and time-invariant prediction algorithm based on lattice filters for speech analysis and synthesis

Content Provider	IEEE Xplore Digital Library
Author	Schnell, K.
Copyright Year	2010
Description	Author affiliation: Institute of Applied Physics, Goethe-University Frankfurt, Max-von-Laue-Str. 1, 60438 Frankfurt am Main, Germany (Schnell, K.)
Abstract	In this paper, an estimation procedure is proposed which yields an optimum solution of a combined time-varying and time-invariant prediction in a non-iterative way. The prediction is performed in terms of reflection coefficients of a lattice filter. The estimation of the time-varying trajectory of reflection coefficients is based on an expansion of the trajectory by basis functions. The time-varying trajectory is assumed to be piece-wise linear. The coefficients of the time-varying basis functions are coupled with those of time- invariant estimations. The combined time-varying and time-invariant analysis is solved by a least squares estimation. The analysis and synthesis of speech signals show that the combination of the time-varying and time-invariant analysis is advantageous since a smooth trajectory together with a high time resolution can be achieved.
Starting Page	4626
Ending Page	4629
File Size	722285
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495549
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prediction algorithms Lattices Filters Speech analysis Speech synthesis Reflection Signal analysis Yield estimation Piecewise linear techniques Least squares approximation Time-varying filters
Content Type	Text
Resource Type	Article

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