Applying EEND Diarization to Telephone Recordings from a Call Center

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962459" target="_blank" >RIV/49777513:23520/21:43962459 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-87802-3_72" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-87802-3_72</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-87802-3_72" target="_blank" >10.1007/978-3-030-87802-3_72</a>

Result language
angličtina
Original language name
Applying EEND Diarization to Telephone Recordings from a Call Center
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/LM2018101" target="_blank" >LM2018101: Digital Research Infrastructure for the Language Technologies, Arts and Humanities</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27–30, 2021, Proceedings
ISBN
978-3-030-87801-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
11
Pages from-to
807-817
Publisher name
Springer
Place of publication
Cham
Event location
St. Petersburg, Russia (virtual)
Event date
Sep 27, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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