Search Results for author: Huan-Hsin Tseng

Found 6 papers, 2 papers with code

On the robustness of non-intrusive speech quality model by adversarial examples

no code implementations11 Nov 2022 Hsin-Yi Lin, Huan-Hsin Tseng, Yu Tsao

It has been shown recently that deep learning based models are effective on speech quality prediction and could outperform traditional metrics in various perspectives.

Boosting Self-Supervised Embeddings for Speech Enhancement

1 code implementation7 Apr 2022 Kuo-Hsuan Hung, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Tien Chiang, Yu Tsao, Chii-Wann Lin

We further study the relationship between the noise robustness of SSL representation via clean-noisy distance (CN distance) and the layer importance for SE.

Self-Supervised Learning Speech Enhancement

Toward Real-World Voice Disorder Classification

no code implementations5 Dec 2021 Heng-Cheng Kuo, Yu-Peng Hsieh, Huan-Hsin Tseng, Chi-Tei Wang, Shih-Hau Fang, Yu Tsao

Conclusion: By deploying factorized convolutional neural networks and domain adversarial training, domain-invariant features can be derived for voice disorder classification with limited resources.

Classification Model Compression

Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport

1 code implementation NeurIPS 2021 Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu, Yu Tsao

This paper presents a novel discriminator-constrained optimal transport network (DOTN) that performs unsupervised domain adaptation for speech enhancement (SE), which is an essential regression task in speech processing.

Speech Enhancement Unsupervised Domain Adaptation

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