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Multi-Task Self-Supervised Pre-Training for Music Classification


Feb 05, 2021
Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang

* Copyright 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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On Front-end Gain Invariant Modeling for Wake Word Spotting


Oct 13, 2020
Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Vitaladevuni

* In Proc. Interspeech 2020 

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Few-shot acoustic event detection via meta-learning


Feb 21, 2020
Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang

* ICASSP 2020 

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Compression of Acoustic Event Detection Models With Quantized Distillation


Jul 01, 2019
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang

* Interspeech 2019 

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Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training


May 02, 2019
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang

* NeuralPS 2018 CDNNRIA workshop 

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Semi-supervised Acoustic Event Detection based on tri-training


Apr 29, 2019
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang

* 5 pages 

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Patch-Based Image Hallucination for Super Resolution with Detail Reconstruction from Similar Sample Images


Jun 03, 2018
Chieh-Chi Kao, Yuxiang Wang, Jonathan Waltman, Pradeep Sen

* 13 pages, 8 figures, submitted to IEEE Transactions on Multimedia, under revision 

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Localization-Aware Active Learning for Object Detection


Jan 16, 2018
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu


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