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05/04/2023
End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders
It is challenging to extract semantic meanings directly from audio signa...
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03/31/2023
Dialog act guided contextual adapter for personalized speech recognition
Personalization in multi-turn dialogs has been a long standing challenge...
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05/11/2022
A neural prosody encoder for end-ro-end dialogue act classification
Dialogue act classification (DAC) is a critical task for spoken language...
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04/18/2022
Distributed Neural Precoding for Hybrid mmWave MIMO Communications with Limited Feedback
Hybrid precoding is a cost-efficient technique for millimeter wave (mmWa...
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04/01/2022
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding
End-to-end Spoken Language Understanding (E2E SLU) has attracted increas...
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12/13/2021
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding
Recent years have seen significant advances in end-to-end (E2E) spoken l...
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12/21/2020
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
We propose a novel Transformer encoder-based architecture with syntactic...
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06/18/2020
Semi-Supervised Recognition under a Noisy and Fine-grained Dataset
Simi-Supervised Recognition Challenge-FGVC7 is a challenging fine-graine...
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07/17/2018
Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization
This paper introduces Jensen, an easily extensible and scalable toolkit ...
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04/18/2018