Although research in audio recognition has traditionally focused on speech and music
signals, the problem of environmental sound recognition (ESR) has received more attention …

The conventional audio feature extraction methods employed in the audio analysis are
categorized into time-domain and frequency-domain. Recently, a new audio feature …

Non-technical loss (NTL) detection is a persistent challenge for Distribution System
Operators. Data-driven solutions have been widely used nowadays to analyze customers' …

Respiratory sound samples unveil key information about the patient's lung condition.
According to the World Health Organization, respiratory diseases are one of the major …

This book chapter presents an approach for heart sound classification based on time‐
frequency image texture feature and support vector machine classifier. Firstly, the …

They may have one piece of song, but it is a challenge to seek the song because they do not
have lyrics to describe for a text-based search engine. This study leverages the Approximate …

A large scale music catalog contains diverse types of sound recordings. In this paper, we
present a methodology to identify instrumental music with high precision and high recall. Our …

Automatic speech recognition (ASR) task constitutes a well-known issue among fields like
Natural Language Processing (NLP), Digital Signal Processing (DSP) and Machine …

Historically, scholarship has taken the intuitive stance that music and language are distinct
from each other, whether that difference lies in their physical or representational form, their …

Searching for a song is a necessity, where the copyright of the song is a significant concern.
This study proposes a method to classify and identify songs based on specific features that …