No abstract

No abstract

No abstract

Substantial progress has been achieved in voice-based biometrics in recent times but a variety of challenges still remain for speech research community. One such obstacle is reliable speaker authentication from speech signals degraded by lossy compression. Compression is commonplace in modern telecommunications, such as mobile telephony, VoIP services, teleconference, voice messaging or gaming. In this study, the authors investigate the effect of lossy speech compression on text-independent speaker verification. Voice biometrics performance is evaluated on clean speech signals distorted by the stateof-the-art narrowband (NB) as well as wideband (WB) speech codecs. The tests are performed in both channel-matched and channel-mismatched scenarios. The test results show that coded WB speech improves voice authentication precision by 1-3% of equal error rate over coded NB speech, even at the lowest investigated bitrates. It is also shown that the enhanced voice services codec does not provide better results than the other codecs involved in this study.

The paper considers an influence of packet loss on a remote speaker verification in Voice over IP (VoIP) environment. A lossy speech coding and packet loss represent a significant part of speech degradation in the VoIP environment. As an extent of packet loss impact is tightly related to a type of speech coder used to transmit speech data, different transmission conditions along with different speech codecs are investigated here. The speaker verification system used in this experimental study is based on a probabilistic GMM-UBM approach. In this paper, a speaker verification accuracy is evaluated against a level of packet loss in narrowband and wideband communication channel.