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SpeechNet: A Universal Modularized Model for Speech Processing Tasks


May 31, 2021
Yi-Chen Chen, Po-Han Chi, Shu-wen Yang, Kai-Wei Chang, Jheng-hao Lin, Sung-Feng Huang, Da-Rong Liu, Chi-Liang Liu, Cheng-Kuang Lee, Hung-yi Lee


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Self-supervised Pre-training Reduces Label Permutation Instability of Speech Separation


Oct 29, 2020
Sung-Feng Huang, Shun-Po Chuang, Da-Rong Liu, Yi-Chen Chen, Gene-Ping Yang, Hung-yi Lee

* submitted to ICASSP2021 

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DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation


May 13, 2020
Yi-Chen Chen, Jui-Yang Hsu, Cheng-Kuang Lee, Hung-yi Lee


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AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition


Nov 27, 2019
Yi-Chen Chen, Zhaojun Yang, Ching-Feng Yeh, Mahaveer Jain, Michael L. Seltzer


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From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings


Apr 10, 2019
Yi-Chen Chen, Sung-Feng Huang, Hung-yi Lee, Lin-shan Lee


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Improved Audio Embeddings by Adjacency-Based Clustering with Applications in Spoken Term Detection


Nov 07, 2018
Sung-Feng Huang, Yi-Chen Chen, Hung-yi Lee, Lin-shan Lee


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Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data


Oct 30, 2018
Yi-Chen Chen, Chia-Hao Shen, Sung-Feng Huang, Hung-yi Lee, Lin-shan Lee


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Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval


Sep 03, 2018
Yi-Chen Chen, Sung-Feng Huang, Chia-Hao Shen, Hung-yi Lee, Lin-shan Lee

* Accepted by SLT2018 

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Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text only


Aug 11, 2018
Yi-Chen Chen, Chia-Hao Shen, Sung-Feng Huang, Hung-yi Lee

* Code is released: https://github.com/grtzsohalf/Towards-Unsupervised-ASR 

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Order-Free RNN with Visual Attention for Multi-Label Classification


Dec 20, 2017
Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang

* Accepted at 32nd AAAI Conference on Artificial Intelligence (AAAI-18) 

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