12 citations · 41 across the 15 of their papers we have counts for
7 papers · 1 filter
Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition
Ye Bai, Jingping Chen, Jitong Chen +52
Modern automatic speech recognition (ASR) model is required to accurately transcribe diverse speech signals (from different domains, languages, accents, etc) given the specific con…
Audio Prompt Tuning for Universal Sound Separation
Yuzhuo Liu, Xubo Liu, Yan Zhao +4
Universal sound separation (USS) is a task to separate arbitrary sounds from an audio mixture. Existing USS systems are capable of separating arbitrary sources, given a few example…
Separate Anything You Describe
Xubo Liu, Qiuqiang Kong, Yan Zhao +7
Language-queried audio source separation (LASS) is a new paradigm for computational auditory scene analysis (CASA). LASS aims to separate a target sound from an audio mixture given…
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…
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…
Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement
Dongyang Dai, Li Chen, Yuping Wang +5
With the popularity of deep neural network, speech synthesis task has achieved significant improvements based on the end-to-end encoder-decoder framework in the recent days. More a…