5 citations · 13 across the 7 of their papers we have counts for
7 papers
MooER: LLM-based Speech Recognition and Translation Models from Moore Threads
Junhao Xu, Zhenlin Liang, Yi Liu +5
In this paper, we present MooER, a LLM-based large-scale automatic speech recognition (ASR) / automatic speech translation (AST) model of Moore Threads. A 5000h pseudo labeled data…
Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous Integrate-and-fire
Zhiyun Fan, Zhenlin Liang, Linhao Dong +6
In multi-talker scenarios such as meetings and conversations, speech processing systems are usually required to segment the audio and then transcribe each segmentation. These two s…
Sequence-level Speaker Change Detection with Difference-based Continuous Integrate-and-fire
Zhiyun Fan, Linhao Dong, Meng Cai +2
Speaker change detection is an important task in multi-party interactions such as meetings and conversations. In this paper, we address the speaker change detection task from the p…
Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection
Minglun Han, Linhao Dong, Zhenlin Liang +4
Nowadays, most methods in end-to-end contextual speech recognition bias the recognition process towards contextual knowledge. Since all-neural contextual biasing methods rely on ph…
Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask
Shaoshi Ling, Chen Shen, Meng Cai +1
In the recent trend of semi-supervised speech recognition, both self-supervised representation learning and pseudo-labeling have shown promising results. In this paper, we propose…
Improving RNN transducer with normalized jointer network
Mingkun Huang, Jun Zhang, Meng Cai +5
Recurrent neural transducer (RNN-T) is a promising end-to-end (E2E) model in automatic speech recognition (ASR). It has shown superior performance compared to traditional hybrid AS…