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Proceedings ArticleDOI

Pole-zero estimation of speech based on L/sub 1/ norm linear prediction

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TLDR
In this article, the robustness of the linear prediction whose minimization process is based on a least absolute error criterion is discussed, and it is shown that a pole-zero model of speech signals can approximate better the spectral envelope compared to that obtained by traditional linear prediction.
Abstract
This paper discusses the robustness of the linear prediction whose minimization process is based on a least absolute error criterion. Due to such robustness in the preciseness of prediction, we can estimate a pole-zero model of speech signals and approximate better the spectral envelope compared to that obtained by traditional linear prediction.

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Citations
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Proceedings ArticleDOI

A greedy approach to Linear Prediction with sparse residuals

TL;DR: The proposed greedy methods work well and suggest that LP with sparse residuals provides accurate estimation, and is much practical in the scenarios that more bits are allocated for coding residuals.
Proceedings ArticleDOI

Joint linear prediction and epoch estimation of voiced speech using a basis where the prediction residual can be sparsely represented

TL;DR: This paper incorporates the Liljencrants-Fant model for glottal flow derivative (GFD) directly into the linear prediction problem and proposes a greedy algorithm to approximately solve this joint estimation problem.
Proceedings ArticleDOI

Sparse representation and epoch estimation of voiced speech

TL;DR: Results show that the proposed model for the glottal flow derivative is effective in estimating the parameters of interest and that GIF-based pulses more accurately model GFD pulses occurring in real speech than pulses computed using the mathematical models.
References
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Journal ArticleDOI

On the simultaneous estimation of poles and zeros in speech analysis

TL;DR: In this paper, an iterative prefiltering method is proposed as an approach to estimate the poles and zeros of the vocal-tract transfer function simultaneously rather than sequentially as in Shanks' method.
Journal ArticleDOI

Linear prediction of speech with a least absolute error criterion

TL;DR: It is shown that the robustness of a least absolute error criterion (L 1 criterion) is particularly well adapted to the analysis of voiced sounds and shows comparable efficiency with classical L 2 methods.
Journal ArticleDOI

Linear prediction analysis of speech based on a pole-zero representation

TL;DR: In this paper, an impulse response representing the composite filtering action of the glottal wave, the vocal tract, the radiation, and the speech recording system is first constructed from the speech signal.
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