DocumentCode
1739537
Title
An investigation of automatic audio classification and segmentation
Author
Lu, Guojun ; Hankinson, Templar
Author_Institution
Gippsland Sch. of Comput. & Inf. Technol., Monash Univ., Churchill, Vic., Australia
Volume
2
fYear
2000
fDate
2000
Firstpage
776
Abstract
To benefit from the increasing amount of information stored as audio data, automatic audio indexing and retrieval systems are required. Audio classification and segmentation are the prerequisites to automatic indexing and retrieval. We investigate automatic audio classification and segmentation based on silence ratio, the variation of zero-crossing rate and their combination. Our experimental results show promising classification and segmentation performance
Keywords
audio signal processing; indexing; information retrieval systems; signal classification; audio data; automatic audio classification; automatic audio indexing; automatic audio retrieval systems; automatic audio segmentation; silence ratio; zero-crossing rate; Australia; Background noise; Information retrieval; Information technology; Machine assisted indexing; Multiple signal classification; Music information retrieval; Speech enhancement; Speech processing; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.891627
Filename
891627
Link To Document