53 citations · 72 across the 11 of their papers we have counts for
5 papers · 1 filter
SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks
Kai-Wei Chang, Yu-Kai Wang, Hua Shen +4
Prompt tuning is a technology that tunes a small set of parameters to steer a pre-trained language model (LM) to directly generate the output for downstream tasks. Recently, prompt…
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…
DDOS: A MOS Prediction Framework utilizing Domain Adaptive Pre-training and Distribution of Opinion Scores
Wei-Cheng Tseng, Wei-Tsung Kao, Hung-yi Lee
Mean opinion score (MOS) is a typical subjective evaluation metric for speech synthesis systems. Since collecting MOS is time-consuming, it would be desirable if there are accurate…
SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks
Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li +1
Speech representations learned from Self-supervised learning (SSL) models can benefit various speech processing tasks. However, utilizing SSL representations usually requires fine-…
Utilizing Self-supervised Representations for MOS Prediction
Wei-Cheng Tseng, Chien-yu Huang, Wei-Tsung Kao +2
Speech quality assessment has been a critical issue in speech processing for decades. Existing automatic evaluations usually require clean references or parallel ground truth data,…