Blind source separation (BSS) is a widely adopted approach for processing biomedical
signals, particularly electroencephalography (EEG) signals, which indicate the electrical …

Биометрические технологии являются перспективным направлением в области
информационной безопасности. Голосовая биометрия на сегодняшний день широко …

Speech recognition is widely researched, but little discussion is available within computer
science algorithms literature. Computer scientists are interested in speech recognition …

The major aim of this research paper is to recognize and figure out the problem of
recognizing a speaker from its voice, we propose a new methodology for feature extraction …

In this paper, Discrete Wavelet Transform (DWT), and Logarithmic Power Spectrum Density
(PSD) are integrated for speaker accurate formants extraction, afterward correlation …

This paper presents a comparison between two speaker recognition systems. One system
uses 30 Shannon entropy values extracted from a four level wavelet packet decomposition …

A musical piece constitutes of vocals and background music which is repetitive in nature.
Their separation is an essential job in many applications, like music information retrieval …

An enhanced voice recognition technique is implemented in this paper. This paper deals
with the recognition of audio voices in wave format using wave transformation. To eliminate …

In this Present study, the technique of Wavelet transform and neural network were
developed for speech based text-dependent speaker identification. Wavelet transform are …

In this paper, the assumption of Linear Predictive Coding (LPC) as functional to speech is
utilized for speaker accurate pattern extraction. Correlation Coefficient as a statistical …