Feature Extraction of Speech Signal using LPC

Speech/Music Discrimination Using a Single Warped LPC-Based Feature

Automatic discrimination of speech and music is an important tool in many multimedia applications. The paper presents a low complexity but effective approach for speech/music discrimination, which exploits only one simple feature, called Warped LPC-based Spectral Centroid (WLPC-SC). A three-component Gaussian Mixture Model (GMM) classifier is used because it showed a slightly better performance...

Feature extraction for unit selection in concatenative speech synthesis: comparison between AIM, LPC, and MFCC

A comprehensive computational model of the human auditory peripherals (AIM) was applied to extract basic features of speech sounds aiming at optimal unit selection in concatenative speech synthesis. The performance of AIM was compared to that of a purely physical model (LPC) as well as that of an approximate auditory model (MFCC) by basic perceptual experiments. While a significant advantage of...

Speech feature extraction using independent component analysis

In this paper, we proposed new speech features using independent component analysis to human speeches. When independent component analysis is applied to speech signals for efficient encoding the adapted basis functions resemble Gabor-like features. Trained basis functions have some redundancies, so we select some of the basis functions by reordering method. The basis functions are almost ordere...

Real Time Implementation of an Lpc Algorithm . Speech Signal Processing

Feature Extraction of Ballistocardiogram Signal

Cardiac arrest and other heart related diseases have become common in today‟s modern life style. It is at most important to detect the abnormalities before the damage is caused. Ballistocardiogram (BCG) is a non-invasive method used to detect the health of heart. Ballistocardiography (BCG) is a plot of repetitive motion of human body arising from the ejection of blood into the blood vessel. BCG...