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 language | English |
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Pages (from-to) | 1081-1085 |
Number of pages | 5 |
Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
Volume | 2020-October |
DOIs | |
Publication status | Published - Oct 2020 |
Externally published | Yes |
Event | 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 - Shanghai, China Duration: 25 Oct 2020 → 29 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