Talks and Poster Presentations (with Proceedings-Entry):
M. Ries, B. Gardlo, M. Rupp, P. De Leon:
"Low-Complexity Voice Detector for Mobile Environments";
Talk: 16th International Workshop on Systems, Signals and Image Processing,
- 06-20-2009; in: "16th International Workshop on Systems, Signals and Image Processing",
Provisioning of mobile audio and video services is a difficult challenge since in the mobile environment, bandwidth and processing resources are limited. Audio content is normally present in most multimedia services, however, the user expectation of perceived audio quality differs for speech and nonspeech content. Therefore, automatic voice or speech detection is needed in order to maximize perceived audio quality and reduce bandwidth and processing costs. The aim of this work is to find a low-complexity speech detector, suitable for detection of speech in a highly-compressed multimedia stream whose audio track may consist of speech, music, broadcast news, or other audio content. Finally, two methods for speech/non-speech detection
are proposed and compared.
mobile audio and video services, speech detection
Electronic version of the publication:
Project Head Markus Rupp:
Created from the Publication Database of the Vienna University of Technology.