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20102022
most citedMulti-modal Multi-channel Target Speech Separation

111 citations · 412 across the 36 of their papers we have counts for

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Showing cs.CLShow all

8 papers · 1 filter

cs.CL2022★ 13 cited

Improving Mandarin End-to-End Speech Recognition with Word N-gram Language Model

Jinchuan Tian, Jianwei Yu, Chao Weng +2

Despite the rapid progress of end-to-end (E2E) automatic speech recognition (ASR), it has been shown that incorporating external language models (LMs) into the decoding can further…

cs.CL2021

Self-supervised Dialogue Learning for Spoken Conversational Question Answering

Nuo Chen, Chenyu You, Yuexian Zou

In spoken conversational question answering (SCQA), the answer to the corresponding question is generated by retrieving and then analyzing a fixed spoken document, including multi-…

cs.CL2021

Layer Reduction: Accelerating Conformer-Based Self-Supervised Model via Layer Consistency

Jinchuan Tian, Rongzhi Gu, Helin Wang +1

Transformer-based self-supervised models are trained as feature extractors and have empowered many downstream speech tasks to achieve state-of-the-art performance. However, both th…

cs.CL2020★ 3 cited

Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension

Nuo Chen, Fenglin Liu, Chenyu You +2

Recently, the attention-enhanced multi-layer encoder, such as Transformer, has been extensively studied in Machine Reading Comprehension (MRC). To predict the answer, it is common…

cs.CL2020★ 26 cited

Towards Data Distillation for End-to-end Spoken Conversational Question Answering

Chenyu You, Nuo Chen, Fenglin Liu +2

In spoken question answering, QA systems are designed to answer questions from contiguous text spans within the related speech transcripts. However, the most natural way that human…

cs.CL2020★ 1 cited

Knowledge Distillation for Improved Accuracy in Spoken Question Answering

Chenyu You, Nuo Chen, Yuexian Zou

Spoken question answering (SQA) is a challenging task that requires the machine to fully understand the complex spoken documents. Automatic speech recognition (ASR) plays a signifi…