Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …

Speech is a signal that includes speaker's emotion, characteristic specification, phoneme-
information etc. Various methods have been proposed for speaker recognition by extracting …

During the past three decades, the issue of processing spectral phase has been largely
neglected in speech applications. There is no doubt that the interest of speech processing …

Multimodal biometric authentication method can conquer the defects of the unimodal
biometric authentication technology. In this paper, we design and develop an efficient …

Emotions are very crucial for humans for expressing perception and daily activities such as
communication, learning, and decision-making. Human emotion recognition using machines …

Highlights•Chicken's sound is extracted from a large section of recording containing
noise.•Mel-frequency cepstral coefficients for healthy and infected used as sound …

In this letter, we propose a novel family of windowing technique to compute mel frequency
cepstral coefficient (MFCC) for automatic speaker recognition from speech. The proposed …

In this paper we study the performance of the low-variance multi-taper Mel-frequency
cepstral coefficient (MFCC) and perceptual linear prediction (PLP) features in a state-of-the …

This research presents the implementation of machine learning (ML) for fault classification
and diagnosis on vehicle power transmission system (VPTS). Machine learning method can …

The multi-taper spectral estimation method is effective in reducing both bias and variance of
the spectrum of stationary stochastic processes. The number of tapers (NoT) in the method …