DMCA
An overview of automatic speaker diarization systems (2006)
| Venue: | IEEE TASLP |
| Citations: | 100 - 2 self |
BibTeX
@ARTICLE{Tranter06anoverview,
author = {Sue E. Tranter and Douglas A. Reynolds and Senior Member},
title = {An overview of automatic speaker diarization systems},
journal = {IEEE TASLP},
year = {2006},
pages = {1557--1565}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract—Audio diarization is the process of annotating an input audio channel with information that attributes (possibly overlapping) temporal regions of signal energy to their specific sources. These sources can include particular speakers, music, background noise sources, and other signal source/channel char-acteristics. Diarization can be used for helping speech recognition, facilitating the searching and indexing of audio archives, and increasing the richness of automatic transcriptions, making them more readable. In this paper, we provide an overview of the approaches currently used in a key area of audio diarization, namely speaker diarization, and discuss their relative merits and limitations. Performances using the different techniques are compared within the framework of the speaker diarization task in the DARPA EARS Rich Transcription evaluations. We also look at how the techniques are being introduced into real broadcast news systems and their portability to other domains and tasks such as meetings and speaker verification. Index Terms—Speaker diarization, speaker segmentation and clustering. I.
Keyphrases
automatic speaker diarization system specific source speech recognition audio archive automatic transcription index term speaker diarization speaker segmentation speaker diarization different technique abstract audio diarization particular speaker speaker verification signal energy signal source channel char-acteristics temporal region darpa ear rich transcription evaluation audio diarization speaker diarization task key area input audio channel background noise source real broadcast news system relative merit
