Detection of Overlapping Speech for the Purposes of Speaker Diarization-Reference-Cited by-同舟云学术

Detection of Overlapping Speech for the Purposes of Speaker Diarization

Published:2019 Issue: Volume: Page:247-257
ISSN:0302-9743
Container-title:Speech and Computer
language:
Short-container-title:

Author:

Kunešová Marie^ORCID,Hrúz Marek^ORCID,Zajíc Zbyněk^ORCID,Radová Vlasta^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-26061-3_26

Reference17 articles.

1. Andrei, V., Cucu, H., Burileanu, C.: Detecting overlapped speech on short timeframes using deep learning. In: Proceedings of Interspeech, pp. 1198–1202 (2017)

2. Boakye, K., Vinyals, O., Friedland, G.: Two’s a crowd: improving speaker diarization by automatically identifying and excluding overlapped speech. In: Proceedings of Interspeech, pp. 32–35 (2008)

3. Diez, M., et al.: BUT system for DIHARD speech diarization challenge 2018. In: Proceedings of Interspeech, pp. 2798–2802 (2018)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);E Edwards,2018

5. Garofolo, J.S., et al.: TIMIT acoustic-phonetic continuous speech corpus, LDC93S1 (1993)

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