Název:	Applying EEND Diarization to Telephone Recordings from a Call Center
Autoři:	Zajíc, Zbyněk Kunešová, Marie Müller, Luděk
Citace zdrojového dokumentu:	ZAJÍC, Z. KUNEŠOVÁ, M. MÜLLER, L. Applying EEND Diarization to Telephone Recordings from a Call Center. In 23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27–30, 2021, Proceedings. Cham: Springer, 2021. s. 807-817. ISBN: 978-3-030-87801-6 , ISSN: 0302-9743
Datum vydání:	2021
Nakladatel:	Springer
Typ dokumentu:	konferenční příspěvek ConferenceObject
URI:	2-s2.0-85116359179 http://hdl.handle.net/11025/47255
ISBN:	978-3-030-87801-6
ISSN:	0302-9743
Klíčová slova v dalším jazyce:	Diarization;End-to-end;X-vector;EEND
Abstrakt v dalším jazyce:	In this paper, we focus on the issue of speaker diarization of data from a real call center. We have previously proposed a specialized solution to the problem, which employed additional knowledge about the identities of the phone operators (in our case, the language counselors from the Language Consulting Center), thus improving performance over the baseline. But a recent end-to-end diarization method, EEND, has since proven very successful on other data and was shown to surpass the previous state of the art in the field. Thus, we chose to compare this new method with our own previous approach. Using an existing implementation of the EEND method (adapted using a small amount of the target data from the Language Consulting Center), we successfully surpass the performance of our previous approach (17.42% vs. 19.39% DER), without the need for any additional information about speaker identities. The majority of the remaining diarization error of the EEND system is due to incorrect decisions between speech and silence, rather than speaker confusion. For comparison, we also show the results of a more standard diarization approach, represented by the method used in the Kaldi toolkit.
Práva:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © Springer
Vyskytuje se v kolekcích:	Konferenční příspěvky / Conference Papers (KKY) OBD

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