8 citations · 10 across the 9 of their papers we have counts for
5 papers · 1 filter
A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data
Cheng-Kang Chou, Chan-Jan Hsu, Ho-Lam Chung +5
We propose a self-refining framework that enhances ASR performance with only unlabeled datasets. The process starts with an existing ASR model generating pseudo-labels on unannotat…
Building a Taiwanese Mandarin Spoken Language Model: A First Attempt
Chih-Kai Yang, Yu-Kuan Fu, Chen-An Li +18
This technical report presents our initial attempt to build a spoken large language model (LLM) for Taiwanese Mandarin, specifically tailored to enable real-time, speech-to-speech…
Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model
Yu-Kuan Fu, Cheng-Kuang Lee, Hsiu-Hsuan Wang +1
Recent efforts in Spoken Dialogue Modeling aim to synthesize spoken dialogue without the need for direct transcription, thereby preserving the wealth of non-textual information inh…
Improving Cascaded Unsupervised Speech Translation with Denoising Back-translation
Yu-Kuan Fu, Liang-Hsuan Tseng, Jiatong Shi +4
Most of the speech translation models heavily rely on parallel data, which is hard to collect especially for low-resource languages. To tackle this issue, we propose to build a cas…
Mandarin-English Code-switching Speech Recognition with Self-supervised Speech Representation Models
Liang-Hsuan Tseng, Yu-Kuan Fu, Heng-Jui Chang +1
Code-switching (CS) is common in daily conversations where more than one language is used within a sentence. The difficulties of CS speech recognition lie in alternating languages…