Jarina, Roman, O'Connor, Noel E. ORCID: 0000-0002-4033-9135, Marlow, Seán and Murphy, Noel (2002) Rhythm detection for speech-music discrimination in MPEG compressed domain. In: DSP 2002 - 14th IEEE International Conference on Digital Signal Processing, 1-3 July 2002, Santorini, Greece.
Abstract
A novel approach to speech-music discrimination based on rhythm (or beat) detection is introduced. Rhythmic pulses are detected by applying a long-term autocorrelation method on band-passed signals. This approach is combined with another, in which the features describe the energy peaks of the signal. The discriminator uses just three features that are computed from data directly taken from an MPEG-1 bitstream. The discriminator was tested on more than 3 hours of audio data. Average recognition rate is 97.7%.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | audio signal processing; correlation methods; feature extraction; music; speech processing; |
Subjects: | Engineering > Signal processing |
DCU Faculties and Centres: | Research Institutes and Centres > Centre for Digital Video Processing (CDVP) |
Publisher: | Institute of Electrical and Electronics Engineers |
Official URL: | http://dx.doi.org/10.1109/ICDSP.2002.1027851 |
Copyright Information: | Copyright © 2002 IEEE. Reprinted from DSP 2002 - 14th IEEE International Conference on Digital Signal Processing. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
ID Code: | 246 |
Deposited On: | 06 Mar 2008 by DORAS Administrator . Last Modified 09 Nov 2018 09:58 |
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