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SOLEWICZ, Y. COHEN, N. ROHDIN, J. MADIKERI, S. ČERNOCKÝ, J.
Originální název
Speaker recognition on mono-channel telephony recordings
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
Conversations stored as mono data is a common problem in many real world speaker recognition applications. In this paper, we focus on investigative scenarios, where a number of mono telephone conversations are available for a speaker of interest. For example, a human operator may have verified that the speaker is present in these conversations. We propose several approaches for automatically creating enrollment models for the speaker of interest from such data. We then use the enrollment models to search for appearances of the speaker of interest in other calls. We analyze the performance of the different method on two dataset that matches our scenario, one is from a simulated case and one is from a real case.
Klíčová slova
speaker recognition, telephony recordings
Autoři
SOLEWICZ, Y.; COHEN, N.; ROHDIN, J.; MADIKERI, S.; ČERNOCKÝ, J.
Vydáno
28. 6. 2022
Nakladatel
International Speech Communication Association
Místo
Beijing
Strany od
193
Strany do
199
Strany počet
8
URL
https://www.isca-speech.org/archive/pdfs/odyssey_2022/solewicz22_odyssey.pdf
BibTex
@inproceedings{BUT179690, author="Yosef {Solewicz} and Noa {Cohen} and Johan Andréas {Rohdin} and Srikanth {Madikeri} and Jan {Černocký}", title="Speaker recognition on mono-channel telephony recordings", booktitle="Proceedings of Odyssey 2022", year="2022", pages="193--199", publisher="International Speech Communication Association", address="Beijing", doi="10.21437/Odyssey.2022-27", url="https://www.isca-speech.org/archive/pdfs/odyssey_2022/solewicz22_odyssey.pdf" }