2 papers
eess.AS2024
Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data
Liang-Hsuan Tseng, Zih-Ching Chen, Wei-Shun Chang +3
Recent advances in automatic speech recognition (ASR) often rely on large speech foundation models for generating high-quality transcriptions. However, these models can be impracti…
cs.CL2024
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…