Introduction Steady-state visually evoked potentials (SSVEPs) have become popular in
brain-computer interface (BCI) applications in addition to many other applications on clinical …

Wavelet transform (WT) is an important tool to analyze the time-frequency structure of a
signal. The WT relies on a prototype signal that is called the mother wavelet. However, there …

Speech emotion recognition continues to attract a lot of research especially under mixed-
language scenarios. Here, we show that emotion is language dependent and that enhanced …

In this paper, Discrete-wavelet transform (DWT) based algorithm are used for speech signal
denoising. Both hard and soft thresholding are used for denoising. Analysis are done on …

Speech emotion recognition has been investigated widely in the field of humanmachine
interaction. Efforts to develop recognition systems have been reported. Some of them …

Speech processing and consequent recognition are important areas of Digital Signal
Processing since speech allows people to communicate more natu-rally and efficiently. In …

Sleep disturbance can indeed have a profound impact on various aspects of health and well-
being. Monitoring sleep quality and detecting sleep disorders are crucial to maintaining …

Recognition of emotion from speech is a significant subject in man-machine fields. In this
study, speech signal has analyzed in order to create a recognition system which is able to …

Speaker Identification system plays an important role in the identification of human voice
and disguised voices especially in the cases of telephoned bomb threat and demand of …

Modal analysis is generally used to determine the structural dynamic characteristics of a
system through experimental. The main purpose of a modal analysis is to identify the modal …