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
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;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891627
