DocumentCode :
2329143
Title :
Audio Elements Based Auditory Scene Segmentation
Author :
Lu, Lie ; Cai, Rui ; Hanjalic, Alan
Author_Institution :
Microsoft Res. Asia, Beijing
Volume :
5
fYear :
2006
fDate :
14-19 May 2006
Abstract :
Auditory scene segmentation is an important step in the process of high-level semantic inference from audio data streams, and in particular, a prerequisite for auditory scene categorization. In this paper, we analyze the limits of previous works on auditory scene segmentation, and then propose a novel method that, conceptually, is inspired by the ideas used in text and video scene segmentation, and is based on an analysis of audio elements and key audio elements, which can be seen as equivalents to the words and keywords in a text document, respectively. Experiments performed on 1.5 hours of audio data indicate that the proposed approach is promising
Keywords :
audio signal processing; inference mechanisms; audio data streams; audio elements; auditory scene categorization; auditory scene segmentation; high-level semantic inference; key audio elements; Asia; Computer science; Digital audio broadcasting; Layout; Multimedia communication; Multimedia databases; Multimedia systems; Radio broadcasting; Speech; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1661201
Filename :
1661201
Link To Document :
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