Abstract
Voice conversion, a technique to change one's voice to sound like that of another, poses a threat to even high performance speaker verification system. Vulnerability of text-independent speaker verification systems under spoofing attack, using statistical voice conversion technique, was evaluated and confirmed in our previous work. In this paper, we further extend the study to text-dependent speaker verification systems. In particular, we compare both joint density Gaussian mixture model (JD-GMM) and unit-selection (US) spoofing methods and, for the first time, the performances of text-independent and text-dependent speaker verification systems in a single study. We conduct the experiments using RSR2015 database which is recorded using multiple mobile devices. The experimental results indicate that text-dependent speaker verification system tolerates spoofing attacks better than the text-independent counterpart.
| Original language | English |
|---|---|
| Pages (from-to) | 950-954 |
| Number of pages | 5 |
| Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
| Publication status | Published - Aug 2013 |
| Externally published | Yes |
| Event | 14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013 - Lyon, France Duration: 25 Aug 2013 → 29 Aug 2013 |
Keywords
- Security
- Speaker verification
- Spoofing attack
- Text-dependent
- Textindependent
- Voice conversion
ASJC Scopus subject areas
- Language and Linguistics
- Human-Computer Interaction
- Signal Processing
- Software
- Modelling and Simulation