Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast

S Venkatesh; D Moffat; A Kirke; G Shakeri; S Brewster; J Fachner; H Odell-Miller; A Street; N Farina; S Banerjee; ER Miranda

doi:10.48550/arxiv.2102.09959

Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast

S Venkatesh
, D Moffat
, A Kirke
, G Shakeri
, S Brewster
, J Fachner
, H Odell-Miller
, A Street
, N Farina
, S Banerjee
, ER Miranda

Research output: Working paper / Preprint › Preprint

Original language	English
Number of pages	0
DOIs	https://doi.org/10.48550/arxiv.2102.09959
Publication status	Published - 19 Feb 2021

Keywords

46 Information and Computing Sciences
4611 Machine Learning
36 Creative Arts and Writing

Access to Document

10.48550/arxiv.2102.09959

1 Conference proceedings published in a book

Artificially synthesising data for audio classification and segmentation to improve speech and music detection in radio broadcast
Venkatesh, S., Moffat, D., Kirke, A., Shakeri, G., Brewster, S., Fachner, J., Odell-Miller, H., Street, A., Farina, N., Banerjee, S. & Miranda, E. R., 2021, 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 636-640 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2021-June).
Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review

Open Access

Cite this

@techreport{3d2b601f88214603baa8971ae8de96d4,

title = "Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast",

keywords = "46 Information and Computing Sciences, 4611 Machine Learning, 36 Creative Arts and Writing",

author = "S Venkatesh and D Moffat and A Kirke and G Shakeri and S Brewster and J Fachner and H Odell-Miller and A Street and N Farina and S Banerjee and ER Miranda",

year = "2021",

month = feb,

day = "19",

doi = "10.48550/arxiv.2102.09959",

language = "English",

type = "WorkingPaper",

}

TY - UNPB

T1 - Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast

AU - Venkatesh, S

AU - Moffat, D

AU - Kirke, A

AU - Shakeri, G

AU - Brewster, S

AU - Fachner, J

AU - Odell-Miller, H

AU - Street, A

AU - Farina, N

AU - Banerjee, S

AU - Miranda, ER

PY - 2021/2/19

Y1 - 2021/2/19

KW - 46 Information and Computing Sciences

KW - 4611 Machine Learning

KW - 36 Creative Arts and Writing

U2 - 10.48550/arxiv.2102.09959

DO - 10.48550/arxiv.2102.09959

M3 - Preprint

BT - Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast

ER -

Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast

Keywords

Access to Document

Research output

Artificially synthesising data for audio classification and segmentation to improve speech and music detection in radio broadcast

Cite this