A study of the robustness of raw waveform based speaker embeddings under mismatched conditions

Ge Zhu; Frank Cwitkowitz; Zhiyao Duan

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arXiv · 2110.04265

A study of the robustness of raw waveform based speaker embeddings under mismatched conditions

Ge Zhu·Frank Cwitkowitz·Zhiyao Duan

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Abstract

In this paper, we conduct a cross-dataset study on parametric and non-parametric raw-waveform based speaker embeddings through speaker verification experiments. In general, we observe a more significant performance degradation of these raw-waveform systems compared to spectral based systems. We then propose two strategies to improve the performance of raw-waveform based systems on cross-dataset tests. The first strategy is to change the real-valued filters into analytic filters to ensure shift-invariance. The second strategy is to apply variational dropout to non-parametric filters to prevent them from overfitting irrelevant nuance features.

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Ge Zhu, Frank Cwitkowitz, Zhiyao Duan. 2021-10-08. A study of the robustness of raw waveform based speaker embeddings under mismatched conditions. https://arxiv.org/abs/2110.04265

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