POCO: A voice spoofing and liveness detection corpus based on pop noise

Kosuke Akimoto, Seng Pei Liew, Sakiko Mishima, Ryo Mizushima, Kong Aik Lee

Research output: Journal article publicationConference articleAcademic researchpeer-review

20 Citations (Scopus)

Abstract

We present a new database of voice recordings with the goal of promoting research on protection of automatic speaker verification systems from voice spoofing, such as replay attacks. Specifically, we focus on the liveness feature of live speech, i.e., pop noise, and the corresponding voice recordings without this feature, for the purpose of combating spoofing via liveness detection. Our database includes simultaneous recordings using a microphone array, as well as recordings at various distances and positions. To the best of our knowledge, this is the first publicly available database that has been particularly designed to study the liveness features of voice recordings under various conditions.

Original languageEnglish
Pages (from-to)1081-1085
Number of pages5
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume2020-October
DOIs
Publication statusPublished - Oct 2020
Externally publishedYes
Event21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 - Shanghai, China
Duration: 25 Oct 202029 Oct 2020

Keywords

  • Microphone array
  • Pop noise
  • Replay attack
  • Spoofing attack
  • Voice corpus

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modelling and Simulation

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