ABSTRACT Mel Frequency Ceptral Coefficient is a very common and efficient technique for
signal processing. This paper presents a new purpose of working with MFCC by using it for …

An algorithm involving Mel-Frequency Cepstral Coefficients (MFCCs) is provided to perform
signal feature extraction for the task of speaker accent recognition. Then different classifiers …

In this study, a SVM-MFCC based Turkish Speech Recognition system is devoloped. In the
structure, Mel Frequency Cepstral Coefficients (MFCC) are used for feature extraction and …

This paper provides a brief survey on human speech production, feature extraction
techniques and classification techniques in speaker recognition. It also discussed about the …

Speech is the basic means of communication of people. In addition to having certain
content, it also contains important acoustic information, which allows us to identify the …

Abstract Least Squares Support Vector Machine (LS-SVM) is powerful to solve problems
such as multi-class nonlinear classification. In this study, a LS-SVM with kernel-based was …

Parkinson's disease (PD) is a neuro-degenerative disease, which crop up with ageing and
having symptoms such as tremors, amnesia, and hindered movements. So far, there is no …

Speech processing is the boon given by science and technology to human kind. The
purpose of the speech is communication. The area of speech processing is just developing …

Speech Recognition is the biggest challenge in case of disordered speech, because of
unavailability and diversity of database. In this paper, we use MFCC as feature extraction …

Molecular dynamics simulations have been performed on the aqueous solutions of Poly
(vinyl methyl ether)(PVME) at various concentrations. Both radial and spatial distribution …