Audio classification in speech and music: A comparison between a statistical and a neural approach

DOI10.1155/S1110865702000720zbMath1007.94522OpenAlexW2085066665MaRDI QIDQ1607684

Alessandra Flammini, Pierangelo Migliorati, Alessandro Bugatti

Publication date: 14 October 2002

Published in: EURASIP Journal on Applied Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/s1110865702000720

zbMATH Keywords

neural networksBayesian classificationaudio classificationspeech/music discriminationzero crossing rate

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (1)

Online speech/music segmentation based on the variance mean of filter bank energy

This page was built for publication: Audio classification in speech and music: A comparison between a statistical and a neural approach