Detection of Acoustic Change-Points in Audio Streams and Signal Segmentation
| dc.contributor.author | Zdansky, Jindrich | |
| dc.coverage.issue | 1 | cs |
| dc.coverage.volume | 14 | cs |
| dc.date.accessioned | 2016-04-25T08:10:27Z | |
| dc.date.available | 2016-04-25T08:10:27Z | |
| dc.date.issued | 2005-04 | cs |
| dc.description.abstract | This contribution proposes an efficient method for the detection of relevant changes in continuous stream of sound. The detected change-points can then serve for the segmentation of long audio recordings into shorter and more or less homogenous sections. First, we discuss the task of a single change-point detection using the Bayes decision theory. We show that it leads to a quite simple and computationally efficient solution based on the Bayesian Information Criterion. Next, we extend this approach to formulate the algorithm for the detection of multiple change-points. Finally, the proposed algorithm is applied for the segmentation of broadcast news audio-streams into parts belonging to different speakers or different acoustic conditions. Such segmentation is necessary as the first step in the automatic speech-to-text transcription of TV or radio news. | en |
| dc.format | text | cs |
| dc.format.extent | 37-40 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Radioengineering. 2005, vol. 14, č. 1, s. 37-40. ISSN 1210-2512 | cs |
| dc.identifier.issn | 1210-2512 | |
| dc.identifier.uri | http://hdl.handle.net/11012/57997 | |
| dc.language.iso | en | cs |
| dc.publisher | Společnost pro radioelektronické inženýrství | cs |
| dc.relation.ispartof | Radioengineering | cs |
| dc.relation.uri | http://www.radioeng.cz/fulltexts/2005/05_01_37_40.pdf | cs |
| dc.rights | Creative Commons Attribution 3.0 Unported License | en |
| dc.rights.access | openAccess | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
| dc.subject | Audio stream processing | en |
| dc.subject | detection of acoustic chan-ges | en |
| dc.subject | speaker segmentation | en |
| dc.subject | Bayesian information criterion | en |
| dc.subject | speech processing and recognition | en |
| dc.title | Detection of Acoustic Change-Points in Audio Streams and Signal Segmentation | en |
| dc.type.driver | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |
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