Titlebook: Algorithms and Software for Predictive and Perceptual Modeling of Speech; Venkatraman Atti Book 2011 Springer Nature Switzerland AG 2011

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https://doi.org/10.1007/978-3-663-09630-6ysis.filter, .(.), is given by,.where . is the order of the linear predictor. . depicts a simple speech synthesis model where a time-varying digital filter is excited by quasi-periodic waveforms when speech is voiced (e.g., as in steady vowels) and random waveforms for unvoiced speech (e.g., as in c

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Algorithms and Software for Predictive and Perceptual Modeling of Speech

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Predictive Modeling of Speech,ysis.filter, .(.), is given by,.where . is the order of the linear predictor. . depicts a simple speech synthesis model where a time-varying digital filter is excited by quasi-periodic waveforms when speech is voiced (e.g., as in steady vowels) and random waveforms for unvoiced speech (e.g., as in c

压倒性胜利

Perceptual Modeling of Speech,low bit rate vocoders depend on 1) the achievable coding gains, 2) computational overhead, and 3) the accuracy of these models to mimic the human performance. This Chapter focuses on how certain perceptual features from the cochlear response are processed to obtain a useful representation of the sig

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1938-1727 ng made several significant strides with an objective to attain high quality of speech at the lowest possible bit rate. This book presents some of the recent advances in linear prediction (LP)-based speech analysis that employ perceptual models for narrow- and wide-band speech coding. The LP analysi

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Book 2011veral significant strides with an objective to attain high quality of speech at the lowest possible bit rate. This book presents some of the recent advances in linear prediction (LP)-based speech analysis that employ perceptual models for narrow- and wide-band speech coding. The LP analysis-synthesi

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Introduction,roperties of the human ear in speech coding standards are largely based on concepts introduced by Schroeder and Atal in 1979 [1, 2]. In this book, we describe some of the recent advances in linear prediction (LP)-based speech analysis that employ perceptual models for narrow- and wide-band speech co

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