In this study, an effective approach of spectral images based on environmental sound
classification using Convolutional Neural Networks (CNN) with meaningful data …

Sequences of feature vectors are a natural way of representing temporal data. Given a
database of sequences, a fundamental task is to find the database entry which is the most …

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

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

Over the past few years, the study of environmental sound classification (ESC) has become
very popular due to the intricate nature of environmental sounds. This paper reports our …

Recent advances have enabled automatic sound recognition systems for deaf and hard of
hearing (DHH) users on mobile devices. However, these tools use pre-trained, generic …

This paper presents a novel feature extraction scheme for automatic classification of musical
instruments using Fractional Fourier Transform (FrFT)-based Mel Frequency Cepstral …

This paper proposes a new algorithm which combines the information in frequency domain
with the Information Gain (InfoGain) technique for the detection of epileptic seizures from …

Instrument recognition plays very important roles in music information retrieval, sound
source separation and automatic music transcription. However, due to different playing …

This work aims to examine one of the cornerstone problems of Musical Instrument Retrieval
(MIR), in particular, instrument classification. IRMAS (Instrument recognition in Musical …