Search Results for author: Hsin-Yi Lin

Found 3 papers, 1 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.

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

Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation

no code implementations25 Sep 2021 Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D. I. Abarbanel

The results indicate that these techniques can be applied to estimate the state of a system for the repeated initialization of short-term forecasts, even in the absence of a traditional numerical forecast model.

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