138 citations · 140 across the 4 of their papers we have counts for
4 papers
RepCodec: A Speech Representation Codec for Speech Tokenization
Zhichao Huang, Chutong Meng, Tom Ko
With recent rapid growth of large language models (LLMs), discrete speech tokenization has played an important role for injecting speech into LLMs. However, this discretization giv…
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research
Xinhao Mei, Chutong Meng, Haohe Liu +6
The advancement of audio-language (AL) multimodal learning tasks has been significant in recent years. However, researchers face challenges due to the costly and time-consuming col…
CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning
Chutong Meng, Junyi Ao, Tom Ko +2
Speech is the surface form of a finite set of phonetic units, which can be represented by discrete codes. We propose the Code BERT (CoBERT) approach for self-supervised speech repr…
GigaST: A 10,000-hour Pseudo Speech Translation Corpus
Rong Ye, Chengqi Zhao, Tom Ko +4
This paper introduces GigaST, a large-scale pseudo speech translation (ST) corpus. We create the corpus by translating the text in GigaSpeech, an English ASR corpus, into German an…