Title: Experiments with segmentation in an online speaker diarization system
Other Titles: Experimenty se segmentací v online systému pro diarizaci řečníků
Authors: Kunešová, Marie
Zajíc, Zbyněk
Radová, Vlasta
Citation: KUNEŠOVÁ, Marie; ZAJÍC, Zbyněk; RADOVÁ, Vlasta. Experiments with segmentation in an online speaker diarization system. In: Text, speech and dialogue: proceedings of the 20th international conference TSD 2017. Berlin: Springer, 2017, p. 429-437. (Lectures notes in computer science; 10415). ISBN 978-3-319-64205-5.
Issue Date: 2017
Publisher: Springer
Document type: konferenční příspěvek
URI: http://www.kky.zcu.cz/cs/publications/MarieKunesova_2017_Experimentswith
ISBN: 978-3-319-64205-5
Keywords: diarizace řečníka;speaker change detection;i-vektory;konvoluční neuronová síť
Keywords in different language: speaker diarization;detekce změny řečníka;i-vectors;convolutional neural network
Abstract in different language: In offline speaker diarization systems, particularly those aimed at telephone speech, the accuracy of the initial segmentation of a conversation is often a secondary concern. Imprecise segment boundaries are typically corrected during resegmentation, which is performed as the final step of the diarization process. However, such resegmentation is generally not possible in online systems, where past decisions are usually unchangeable. In such situations, correct segmentation becomes critical. In this paper, we evaluate several different segmentation approaches in the context of online diarization by comparing the overall performance of an i-vector-based diarization system set to operate in a sequential manner.
Rights: © Springer
Appears in Collections:Konferenční příspěvky / Conference Papers (KKY)

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