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The state-of-the-art speaker-recognition systems suffer from significant performance loss on degraded speech conditions and acoustic mismatch between enrolment and test phases. Past international evaluation campaigns, such as the NIST speaker recognition evaluation (SRE), have partly addressed these challenges in some evaluation conditions. This work aims at further assessing and compensating for...
In this paper, a method to use SGMM speaker vectors for speaker diarization is introduced. The architecture of the Information Bottleneck (IB) based speaker diarization is utilized for this purpose. The audio for speaker diarization is split into short uniform segments. Speaker vectors are obtained from a Subspace Gaussian Mixture Model (SGMM) system trained on meeting data. The speaker vectors are...
Personal audio logs are often recorded in multiple environments. This poses challenges for robust front-end processing, including speech/nonspeech detection (SND). Motivated by this, we investigate the robustness of four different privacy-sensitive features for SND, namely energy, zero crossing rate, spectral flatness, and kurtosis. We study early and late fusion of these features in conjunction with...
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