Period Information Deviation on the Segmental Sinusoidal Model

Setiawan, Florentinus Budi (2014) Period Information Deviation on the Segmental Sinusoidal Model. Period Information Deviation on the Segmental Sinusoidal Model. ISSN ISBN 978-14793-6432-1

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Speech signal can modeled by sinusoidal .On the sinusoidal model, there are many kinds for the signal. One of model is Segmental Sinusoidal The segmental model is an approximation based on sinusoidal model for speech signal, especially periodic detection. The periodic signal can be decomposed by sinusoidal signal with combination of amplitude, and phase. After the signal is decomposed, parameter quantized. The proposed quantization method in this sampling signal on big part between minimum and part over observation block. Some parameters og signal are detected. The useful parameters are peaks and between consecutive peaks. Period information obtained quantization tends to different than the original. In this show the experimental results that there are many between period information on encoder side with the side. It caused by quantization error on period and quantization error on the codebook design. Differences is degradation of signal quality, especially on signal accuracy. On this paper, deviation of the signal from original signal will be evaluated . from the original signals means that some error occur quantization.

Item Type: Article
Subjects: 600 Technology (Applied sciences) > 620 Engineering > 621 Electrical engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: ms F. Dewi Retnowati
Date Deposited: 24 Nov 2020 04:03
Last Modified: 24 Nov 2020 04:03

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