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Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR and Speech-to-text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision
Chih-Kai Yang, Kuan-Po Huang, Ke-Han Lu +3
This work evaluated several cutting-edge large-scale foundation models based on self-supervision or weak supervision, including SeamlessM4T, SeamlessM4T v2, and Whisper-large-v3, o…
Noise robust distillation of self-supervised speech models via correlation metrics
Fabian Ritter-Gutierrez, Kuan-Po Huang, Dianwen Ng +4
Compared to large speech foundation models, small distilled models exhibit degraded noise robustness. The student's robustness can be improved by introducing noise at the inputs du…
Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages
Kuan-Po Huang, Chih-Kai Yang, Yu-Kuan Fu +2
We introduce a new zero resource code-switched speech benchmark designed to directly assess the code-switching capabilities of self-supervised speech encoders. We showcase a baseli…
Ensemble knowledge distillation of self-supervised speech models
Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu +5
Distilled self-supervised models have shown competitive performance and efficiency in recent years. However, there is a lack of experience in jointly distilling multiple self-super…