output
20062026
most citedThe Medical Segmentation Decathlon

1.3k citations

Showing 2020 · eess.ASShow all

13 papers · 2 filters

eess.AS2020★ 5 cited

Multi-channel Multi-frame ADL-MVDR for Target Speech Separation

Zhuohuang Zhang, Yong Xu, Meng Yu +4

Many purely neural network based speech separation approaches have been proposed to improve objective assessment scores, but they often introduce nonlinear distortions that are har…

eess.AS2020

WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation

Zhaoheng Ni, Yong Xu, Meng Yu +4

This paper aims at eliminating the interfering speakers' speech, additive noise, and reverberation from the noisy multi-talker speech mixture that benefits automatic speech recogni…

eess.AS2020★ 2 cited

Audio-visual Multi-channel Integration and Recognition of Overlapped Speech

Jianwei Yu, Shi-Xiong Zhang, Bo Wu +6

Automatic speech recognition (ASR) technologies have been significantly advanced in the past few decades. However, recognition of overlapped speech remains a highly challenging tas…

eess.AS2020★ 2 cited

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

Songxiang Liu, Yuewen Cao, Na Hu +2

This paper presents FastSVC, a light-weight cross-domain singing voice conversion (SVC) system, which can achieve high conversion performance, with inference speed 4x faster than r…

eess.AS2020★ 4 cited

Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization

Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe +4

This paper proposes a new paradigm for handling far-field multi-speaker data in an end-to-end neural network manner, called directional automatic speech recognition (D-ASR), which…

eess.AS2020★ 18 cited

Replay and Synthetic Speech Detection with Res2net Architecture

Xu Li, Na Li, Chao Weng +4

Existing approaches for replay and synthetic speech detection still lack generalizability to unseen spoofing attacks. This work proposes to leverage a novel model structure, so-cal…