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cs.SD2022
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…
cs.SD2022★ 3 cited
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…
cs.CL2022
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…