4 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.AS2024
TacoLM: GaTed Attention Equipped Codec Language Model are Efficient Zero-Shot Text to Speech Synthesizers
Yakun Song, Zhuo Chen, Xiaofei Wang +3
Neural codec language model (LM) has demonstrated strong capability in zero-shot text-to-speech (TTS) synthesis. However, the codec LM often suffers from limitations in inference s…
cs.CL2024★ 4 cited
An Embarrassingly Simple Approach for LLM with Strong ASR Capacity
Ziyang Ma, Guanrou Yang, Yifan Yang +8
In this paper, we focus on solving one of the most important tasks in the field of speech processing, i.e., automatic speech recognition (ASR), with speech foundation encoders and…
cs.CL2023
Fast-HuBERT: An Efficient Training Framework for Self-Supervised Speech Representation Learning
Guanrou Yang, Ziyang Ma, Zhisheng Zheng +3
Recent years have witnessed significant advancements in self-supervised learning (SSL) methods for speech-processing tasks. Various speech-based SSL models have been developed and…