Wei-Ting Lin
2021
Discussion on domain generalization in the cross-device speaker verification system
Wei-Ting Lin
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Yu-Jia Zhang
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Chia-Ping Chen
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Chung-Li Lu
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Bo-Cheng Chan
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)
In this paper, we use domain generalization to improve the performance of the cross-device speaker verification system. Based on a trainable speaker verification system, we use domain generalization algorithms to fine-tune the model parameters. First, we use the VoxCeleb2 dataset to train ECAPA-TDNN as a baseline model. Then, use the CHT-TDSV dataset and the following domain generalization algorithms to fine-tune it: DANN, CDNN, Deep CORAL. Our proposed system tests 10 different scenarios in the NSYSU-TDSV dataset, including a single device and multiple devices. Finally, in the scenario of multiple devices, the best equal error rate decreased from 18.39 in the baseline to 8.84. Successfully achieved cross-device identification on the speaker verification system.
2020
Exploring Disparate Language Model Combination Strategies for Mandarin-English Code-Switching ASR
Wei-Ting Lin
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Berlin Chen
Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)
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