Detection of acoustic change-points in audio streams and signal segmentation

dc.contributor.authorŽďánský, Jindřich
dc.date.accessioned2015-10-26
dc.date.available2015-10-26
dc.date.issued2005
dc.description.abstractThis 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.formattext
dc.identifier.issn1210-2512
dc.identifier.scopus2-s2.0-84867378903
dc.identifier.urihttps://dspace.tul.cz/handle/15240/13321
dc.identifier.urihttps://www.researchgate.net/publication/26511643_Detection_of_Acoustic_Change-Points_in_Audio_Streams_and_Signal_Segmentation
dc.language.isoen
dc.publisherCzech Technical University
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.relation.ispartofRadioengineeringen
dc.sourcej-scopus
dc.subjectBayesian information criterionen
dc.subjectdetection of acoustic changesen
dc.subjectream processingen
dc.subjectspeaker segmentationen
dc.subjectspeech processing and recognitionen
dc.titleDetection of acoustic change-points in audio streams and signal segmentationen
dc.typeArticle
local.citation.epage40
local.citation.spage37
local.facultyFaculty of Mechatronics, Informatics and Interdisciplinary Studies
local.fulltextyes
local.relation.issue1
local.relation.volume14
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2-s2.0-84867378903.pdf
Size:
347.04 KB
Format:
Adobe Portable Document Format
Description:
Collections