Linear Predictive Coding (LPC) analysis and synthesis of speech using MATLAB

Yaacob, Muhamad Izwan (2011) Linear Predictive Coding (LPC) analysis and synthesis of speech using MATLAB. [Student Project] (Unpublished)

Abstract

The speech analysis and synthesis have many applications and is essential especially in transmission of signals due to its bandwidth availability. In this paper, a Linear Predictive Coding (LPC) is used to analyze the speech parameters and synthesis the production of speech by using stored speech parameters. Two female speech samples parameters are analyzed according to Voice Activity Detection (VAD), formant frequency estimation, and autocorrelation analysis and cepstrum analysis for fundamental frequency estimation. After the speech was synthesized, the quality was measured based on Signal-to-Noise Ratio (SNR) and Perceptual Evaluation of Speech Quality (PESQ). All of this was done in MATLAB software environment.

Metadata

Item Type:	Student Project
Creators:	Creators Email / ID Num. Yaacob, Muhamad Izwan 2007294118
Contributors:	Contribution Name Email / ID Num. Advisor Hassan, Harnani UNSPECIFIED
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > Industrial engineering. Management engineering T Technology > T Technology (General) > Industrial engineering. Management engineering > Applied mathematics. Quantitative methods
Divisions:	Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme:	Bachelor of Engineering (Hons.) in Electrical Engineering
Keywords:	Linear predictive coding (LPC), Voice activity detection (VAD), Signal-to-noise ratio (SNR), Mean opinion score (MOS), Perceptual evaluation of speech quality (PESQ)
Date:	2011
URI:	https://ir.uitm.edu.my/id/eprint/121777