Electroencephalography (EEG) is the commonly employed electro-biological imaging
technique for diagnosing brain functioning. The EEG signals are used to determine head …

In recent years the emotion recognition from speech is area of more interest in human
computer interaction. There are many different researchers which worked on emotion …

This study presents a novel methodology towards load classification through surface-
Electromyography (sEMG). Two subjects performed weight lifting tasks for 1kg, 3kg and 7kg …

This study presents the concept of a computationally efficient machine learning (ML) model
for diagnosing and monitoring Parkinson's disease (PD) using rest-state EEG signals (rs …

In this paper, we propose a speech emotion recognition technique using convolutional long
short-term memory (LSTM) recurrent neural network (ConvLSTM-RNN) as a phoneme …

Automatic speech recognition is generally analyzed for two types of word utterances;
isolated and continuous-words speech. Continuous-words speech is almost natural way of …

Automatic Speech Recognition (ASR) System is defined as transformation of acoustic
speech signals to string of words. This paper presents an approach of ASR system based on …

Hearing loss detection using automated audiometers and artificial intelligence methods has
gained increasing attention in recent years. The proposed work aims:(a) to design an …

The research examines the challenge of emotion detection in Kashmiri language utilizing
audio reviews. It proposes a fusion model integrating convolutional neural networks (CNN) …

Pattern recognition from audio signals is an active research topic encompassing audio
tagging, acoustic scene classification, music classification, and other areas. Spectrogram …