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| Titel: |
Detection of Acoustic Change-Points in Audio Streams and Signal Segmentation |
| Auteur: |
J. Zdansky |
| Verschenen in: |
Radioengineering |
| Paginering: | Jaargang 14 (2005) nr. 1 pagina's 37-40 |
| Jaar: |
2005 |
| Inhoud: |
This contribution proposes an efficient method for the detection ofrelevant changes in continuous stream of sound. The detectedchange-points can then serve for the segmentation of long audiorecordings into shorter and more or less homogenous sections. First, wediscuss the task of a single change-point detection using the Bayesdecision theory. We show that it leads to a quite simple andcomputationally efficient solution based on the Bayesian InformationCriterion. Next, we extend this approach to formulate the algorithm forthe detection of multiple change-points. Finally, the proposedalgorithm is applied for the segmentation of broadcast newsaudio-streams into parts belonging to different speakers or differentacoustic conditions. Such segmentation is necessary as the first stepin the automatic speech-to-text transcription of TV or radio news. |
| Uitgever: |
Spolecnost pro radioelektronicke inzenyrstvi (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 5 van 11 gevonden artikelen
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