Learning Decoupling Features Through Orthogonality Regularization

Learning Decoupling Features Through Orthogonality Regularization

31 March 2022

Yujun Wang

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Papers citing "Learning Decoupling Features Through Orthogonality Regularization"

9 / 9 papers shown

Title
Speaker-Utterance Dual Attention for Speaker and Utterance Verification Tianchi Liu Rohan Kumar Das Maulik C. Madhavi Sheng-syun Shen Haizhou Li 39 11 0 20 Aug 2020
Metric Learning for Keyword Spotting Jaesung Huh Minjae Lee Hee-Soo Heo Seongkyu Mun Joon Son Chung 62 23 0 18 May 2020
Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention Myunghun Jung Youngmoon Jung Jahyun Goo Hoirin Kim 52 19 0 08 May 2020
RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification Jee-weon Jung Hee-Soo Heo Ju-ho Kim Hye-jin Shim Ha-Jin Yu 74 142 0 17 Apr 2019
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices Seungwoo Choi Seokjun Seo Beomjun Shin Hyeongmin Byun Martin Kersner Beomsu Kim Dongyoung Kim S. Ha 107 155 0 08 Apr 2019
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? Nitin Bansal Xiaohan Chen Zhangyang Wang OOD 88 188 0 22 Oct 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition Pete Warden 106 1,627 0 09 Apr 2018
Attention-based End-to-End Models for Small-Footprint Keyword Spotting Changhao Shan Junbo Zhang Yujun Wang Lei Xie AI4TS 55 110 0 29 Mar 2018
Deep Residual Learning for Small-Footprint Keyword Spotting Raphael Tang Jimmy J. Lin 93 237 0 28 Oct 2017