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11/17/2022
Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous Integrate-and-fire
In multi-talker scenarios such as meetings and conversations, speech pro...
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06/27/2022
Sequence-level Speaker Change Detection with Difference-based Continuous Integrate-and-fire
Speaker change detection is an important task in multi-party interaction...
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01/30/2022
Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection
Nowadays, most methods in end-to-end contextual speech recognition bias ...
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12/17/2020
CIF-based Collaborative Decoding for End-to-end Contextual Speech Recognition
End-to-end (E2E) models have achieved promising results on multiple spee...
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05/20/2020
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition
End-to-end models are gaining wider attention in the field of automatic ...
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05/27/2019
CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition
Automatic speech recognition (ASR) system is undergoing an exciting path...
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02/18/2019
Self-Attention Aligner: A Latency-Control End-to-End Model for ASR Using Self-Attention Network and Chunk-Hopping
Self-attention network, an attention-based feedforward neural network, h...
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06/17/2018
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin
End-to-end models have been showing superiority in Automatic Speech Reco...
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05/16/2018
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese
The choice of modeling units is critical to automatic speech recognition...
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04/28/2018
