12 citations · 12 across the 6 of their papers we have counts for
6 papers
Efficient Neural Music Generation
Max W. Y. Lam, Qiao Tian, Tang Li +10
Recent progress in music generation has been remarkably advanced by the state-of-the-art MusicLM, which comprises a hierarchy of three LMs, respectively, for semantic, coarse acous…
Language-universal phonetic encoder for low-resource speech recognition
Siyuan Feng, Ming Tu, Rui Xia +2
Multilingual training is effective in improving low-resource ASR, which may partially be explained by phonetic representation sharing between languages. In end-to-end (E2E) ASR sys…
Language-Universal Phonetic Representation in Multilingual Speech Pretraining for Low-Resource Speech Recognition
Siyuan Feng, Ming Tu, Rui Xia +2
We improve low-resource ASR by integrating the ideas of multilingual training and self-supervised learning. Concretely, we leverage an International Phonetic Alphabet (IPA) multili…
Memory Augmented Lookup Dictionary based Language Modeling for Automatic Speech Recognition
Yukun Feng, Ming Tu, Rui Xia +2
Recent studies have shown that using an external Language Model (LM) benefits the end-to-end Automatic Speech Recognition (ASR). However, predicting tokens that appear less frequen…
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance
Yuanzhe Chen, Ming Tu, Tang Li +7
Streaming voice conversion (VC) is the task of converting the voice of one person to another in real-time. Previous streaming VC methods use phonetic posteriorgrams (PPGs) extracte…
Cloning one's voice using very limited data in the wild
Dongyang Dai, Yuanzhe Chen, Li Chen +6
With the increasing popularity of speech synthesis products, the industry has put forward more requirements for personalized speech synthesis: (1) How to use low-resource, easily a…