Publication detail

Speaker recognition on mono-channel telephony recordings

SOLEWICZ, Y. COHEN, N. ROHDIN, J. MADIKERI, S. ČERNOCKÝ, J.

Original Title

Speaker recognition on mono-channel telephony recordings

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

speaker recognition, telephony recordings

Authors

SOLEWICZ, Y.; COHEN, N.; ROHDIN, J.; MADIKERI, S.; ČERNOCKÝ, J.

Released

28. 6. 2022

Publisher

International Speech Communication Association

Location

Beijing

Pages from

193

Pages to

199

Pages count

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"
}