Publication Details
Speaker recognition on mono-channel telephony recordings
Cohen Noa
Rohdin Johan Andréas, M.Sc., Ph.D. (DCGM)
Madikeri Srikanth
Černocký Jan, prof. Dr. Ing. (DCGM)
speaker recognition, telephony recordings
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.
@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"
}