1 code implementation • 4 Oct 2023 • Kuan-Po Huang, Chih-Kai Yang, Yu-Kuan Fu, Ewan Dunbar, Hung-Yi Lee
We introduce a new zero resource code-switched speech benchmark designed to directly assess the code-switching capabilities of self-supervised speech encoders.
no code implementations • 12 May 2023 • Yu-Kuan Fu, Liang-Hsuan Tseng, Jiatong Shi, Chen-An Li, Tsu-Yuan Hsu, Shinji Watanabe, Hung-Yi Lee
We use fully unpaired data to train our unsupervised systems and evaluate our results on CoVoST 2 and CVSS.
no code implementations • 24 Feb 2023 • Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-Yi Lee
We tried two different aggregation techniques, layerwise-average and layerwise-concatenation, to the representations of different teacher models and found that the former was more effective.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • 14 Oct 2022 • Kuan-Po Huang, Yu-Kuan Fu, Tsu-Yuan Hsu, Fabian Ritter Gutierrez, Fan-Lin Wang, Liang-Hsuan Tseng, Yu Zhang, Hung-Yi Lee
Self-supervised learned (SSL) speech pre-trained models perform well across various speech processing tasks.
no code implementations • 30 Mar 2022 • Kuan Po Huang, Yu-Kuan Fu, Yu Zhang, Hung-Yi Lee
Speech distortions are a long-standing problem that degrades the performance of supervisely trained speech processing models.
no code implementations • 7 Oct 2021 • Liang-Hsuan Tseng, Yu-Kuan Fu, Heng-Jui Chang, Hung-Yi Lee
Code-switching (CS) is common in daily conversations where more than one language is used within a sentence.