23 citations · 37 across the 6 of their papers we have counts for
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eess.AS2022★ 1 cited
Reducing Language confusion for Code-switching Speech Recognition with Token-level Language Diarization
Hexin Liu, Haihua Xu, Leibny Paola Garcia +3
Code-switching (CS) refers to the phenomenon that languages switch within a speech signal and leads to language confusion for automatic speech recognition (ASR). This paper aims to…
eess.AS2020★ 5 cited
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…
eess.AS2020★ 2 cited
Dynamic latency speech recognition with asynchronous revision
Mingkun Huang, Meng Cai, Jun Zhang +4
In this work we propose an inference technique, asynchronous revision, to unify streaming and non-streaming speech recognition models. Specifically, we achieve dynamic latency with…