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20172022
most citedOn Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression

303 citations · 631 across the 26 of their papers we have counts for

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Showing 2020Show all

14 papers · 1 filter

cs.CV20204 cited

Lip-reading with Hierarchical Pyramidal Convolution and Self-Attention

Hang Chen, Jun Du, Yu Hu +3

In this paper, we propose a novel deep learning architecture to improving word-level lip-reading. On the one hand, we first introduce the multi-scale processing into the spatial fe…

cs.CV202075 cited

Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition

Hengshun Zhou, Debin Meng, Yuanyuan Zhang +4

The audio-video based emotion recognition aims to classify a given video into basic emotions. In this paper, we describe our approaches in EmotiW 2019, which mainly explores emotio…

eess.AS2020

The Third DIHARD Diarization Challenge

Neville Ryant, Prachi Singh, Venkat Krishnamohan +6

DIHARD III was the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variability in recording equipment, noise condit…

cs.SD20203 cited

Frequency Gating: Improved Convolutional Neural Networks for Speech Enhancement in the Time-Frequency Domain

Koen Oostermeijer, Qing Wang, Jun Du

One of the strengths of traditional convolutional neural networks (CNNs) is their inherent translational invariance. However, for the task of speech enhancement in the time-frequen…

eess.AS2020

Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis

Desh Raj, Pavel Denisov, Zhuo Chen +11

Multi-speaker speech recognition of unsegmented recordings has diverse applications such as meeting transcription and automatic subtitle generation. With technical advances in syst…

cs.SD2020

A Two-Stage Approach to Device-Robust Acoustic Scene Classification

Hu Hu, Chao-Han Huck Yang, Xianjun Xia +13

To improve device robustness, a highly desirable key feature of a competitive data-driven acoustic scene classification (ASC) system, a novel two-stage system based on fully convol…