Front-end tool of content analysis on MPEG compressed audio

Chao Li; Zhang Xiong; Jing Wu

Front-end tool of content analysis on MPEG compressed audio

Chao Li^*
, Zhang Xiong
, Jing Wu

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

An MPEG audio front-end analysis tool based on auditory model and neural networks is introduced, which can also be used for MPEG audio segmentation and feature extraction in practice. The classifier can also be applied into the following fields, multimedia database, digital library or multimedia editing, etc.

Original language	English
Pages (from-to)	19-21+32
Journal	Jisuanji Gongcheng/Computer Engineering
Volume	31
Issue number	15
State	Published - 15 Aug 2005

Keywords

Audio
Content-based
MPEG
Psychoacoustic model

Cite this

@article{847cf4585ef44c0886a4972e190ac39f,

title = "Front-end tool of content analysis on MPEG compressed audio",

abstract = "An MPEG audio front-end analysis tool based on auditory model and neural networks is introduced, which can also be used for MPEG audio segmentation and feature extraction in practice. The classifier can also be applied into the following fields, multimedia database, digital library or multimedia editing, etc.",

keywords = "Audio, Content-based, MPEG, Psychoacoustic model",

author = "Chao Li and Zhang Xiong and Jing Wu",

year = "2005",

month = aug,

day = "15",

language = "英语",

volume = "31",

pages = "19--21+32",

journal = "Jisuanji Gongcheng/Computer Engineering",

issn = "1000-3428",

publisher = "Shanghai Jisuanji Xuehui/Shanghai Computer Society",

number = "15",

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TY - JOUR

T1 - Front-end tool of content analysis on MPEG compressed audio

AU - Li, Chao

AU - Xiong, Zhang

AU - Wu, Jing

PY - 2005/8/15

Y1 - 2005/8/15

N2 - An MPEG audio front-end analysis tool based on auditory model and neural networks is introduced, which can also be used for MPEG audio segmentation and feature extraction in practice. The classifier can also be applied into the following fields, multimedia database, digital library or multimedia editing, etc.

AB - An MPEG audio front-end analysis tool based on auditory model and neural networks is introduced, which can also be used for MPEG audio segmentation and feature extraction in practice. The classifier can also be applied into the following fields, multimedia database, digital library or multimedia editing, etc.

KW - Audio

KW - Content-based

KW - MPEG

KW - Psychoacoustic model

UR - https://www.scopus.com/pages/publications/23944436633

M3 - 文章

AN - SCOPUS:23944436633

SN - 1000-3428

VL - 31

SP - 19-21+32

JO - Jisuanji Gongcheng/Computer Engineering

JF - Jisuanji Gongcheng/Computer Engineering

IS - 15

ER -

Front-end tool of content analysis on MPEG compressed audio

Abstract

Keywords

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