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publications
Environment-Dependent Attention-Driven Recurrent Convolutional Neural Network for Robust Speech Enhancement
Published in Interspeech, 2019Meng Ge, Longbiao Wang, Nan Li, Hao Shi, Jianwu Dang, and Xiangang Li
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Spectrograms Fusion with Minimum Difference Masks Estimation for Monaural Speech Dereverberation
Published in IEEE-ICASSP, 2020Hao Shi, Longbiao Wang, Meng Ge, Sheng Li, and Jianwu Dang
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Singing Voice Extraction with Attention-Based Spectrograms Fusion
Published in Interspeech, 2020Hao Shi, Longbiao Wang, Sheng Li, Chenchen Ding, Meng Ge, Nan Li, Jianwu Dang, and Hiroshi Seki
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Speech Dereverberation Based on Scale-aware Mean Square Error Loss
Published in ICONIP, 2021Luya Qiang, Hao Shi, Meng Ge, Haoran Yin, Nan Li, Longbiao Wang, Sheng Li, and Jianwu Dang
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Simultaneous Progressive Filtering-based Monaural Speech Enhancement
Published in ICONIP, 2021Haoran Yin, Hao Shi, Longbiao Wang, Luya Qiang, Sheng Li, Meng Ge, Gaoyan Zhang, and Jianwu Dang
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Spectrograms Fusion-based End-to-end Robust Automatic Speech Recognition
Published in APSIPA ASC, 2021Hao Shi, Longbiao Wang, Sheng Li, Cunhang Fan, Jianwu Dang, and Tatsuya Kawahara
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Monaural speech enhancement based on spectrogram decomposition for convolutional neural network-sensitive feature extraction
Published in Interspeech, 2022Hao Shi, Longbiao Wang, Sheng Li, Jianwu Dang, and Tatsuya Kawahara
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Language-specific Characteristic Assistance for Code-switching Speech Recognition
Published in Interspeech, 2022Tongtong Song, Qiang Xu, Meng Ge, Longbiao Wang, Hao Shi, Yongjie Lv, Yuqin Lin, and Jianwu Dang
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Self-Distillation Based on High-level Information Supervision for Compressing End-to-End ASR Model
Published in Interspeech, 2022Qiang Xu, Tongtong Song, Longbiao Wang, Hao Shi, Yuqin Lin, Yongjie Lv, Meng Ge, Qiang Yu, and Jianwu Dang
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Fusing Multiple Bandwidth Spectrograms for Improving Speech Enhancement
Published in APSIPA ASC, 2022Hao Shi, Yuchun Shu, Longbiao Wang, Jianwu Dang, and Tatsuya Kawahara
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Subband-Based Spectrogram Fusion for Speech Enhancement by Combining Mapping and Masking Approaches
Published in APSIPA ASC, 2022Hao Shi, Longbiao Wang, Sheng Li, Jianwu Dang, and Tatsuya Kawahara
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Adaptive Attention Network with Domain Adversarial Training for Multi-Accent Speech Recognition
Published in ISCSLP, 2022Yanbing Yang, Hao Shi, Yuqin Lin, Meng Ge, Longbiao Wang, Qingzhi Hou and Jianwu Dang
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Time-domain Speech Enhancement Assisted by Multi-resolution Frequency Encoder and Decoder
Published in IEEE-ICASSP, 2023Hao Shi, Masato Mimura, Longbiao Wang, Jianwu Dang, and Tatsuya Kawahara
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Extending Audio Masked Autoencoders Toward Audio Restoration
Published in WASPAA, 2023Zhi Zhong, Hao Shi, Masato Hirano, Kazuki Shimada, Kazuya Tateishi, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji
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Investigation of Adapter for Automatic Speech Recognition in Noisy Environment
Published in SIG Technical Reports, 2023Hao Shi, and Tatsuya Kawahara
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Enhancing Two-stage Finetuning for Speech Emotion Recognition Using Adapters
Published in IEEE-ICASSP, 2024Yuan Gao, Hao Shi, Chenhui Chu, Tatsuya Kawahara
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Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders
Published in IEEE-ICASSP, 2024Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, and Yuki Mitsufuji
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Ensemble Inference for Diffusion Model-based Speech Enhancement
Published in IEEE-ICASSPW, 2024Hao Shi, Naoyuki Kamo, Marc Delcroix, Tomohiro Nakatani, and Shoko Araki
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Waveform-domain Speech Enhancement Using Spectrogram Encoding for Robust Speech Recognition
Published in IEEE/ACM Trans. on ASLP, 2024Hao Shi, Masato Mimura, and Tatsuya Kawahara
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Speech Emotion Recognition with Multi-level Acoustic and Semantic Information Extraction and Interaction
Published in Interspeech, 2024Yuan Gao, Hao Shi, Chenhui Chu, and Tatsuya Kawahara
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Dual-path Adaptation of Pretrained Feature Extraction Module for Robust Automatic Speech Recognition
Published in Interspeech, 2024Hao Shi, and Tatusya Kawahara
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Error Correction by Paying Attention to Both Acoustic and Confidence References for Automatic Speech Recognition
Published in Interspeech, 2024Yuchun Shu, Bo Hu, Yifeng He, Hao Shi, Longbiao Wang, and Jianwu Dang
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Serialized Speech Information Guidance with Overlapped Encoding Separation for Multi-Speaker Automatic Speech Recognition
Published in IEEE-SLT, 2024Hao Shi, Yuan Gao, Zhaoheng Ni, and Tatusya Kawahara
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Reducing the Gap between Pretrained Speech Enhancement and Recognition Models Using a Real Speech-Trained Bridging Module
Published in IEEE-ICASSP, 2025Zhongjian Cui, Chenrui Cui, Tianrui Wang, Mengnan He, Hao Shi, Meng Ge, Caixia Gong, Longbiao Wang, and Jianwu Dang
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Adapting Pretrained Speech Recognition Models for Code-Switching through Encoding Refining and Language-Aware Attention-based Decoding
Published in IEEE-ICASSP, 2025Jiahui Zhao, Hao Shi, Tianrui Wang, Hexin Liu, Zhaoheng Ni, Lingxuan Ye, and Longbiao Wang
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talks
Talk 1 on Relevant Topic in Your Field
Published in UC San Francisco, Department of Testing, 2012This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
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Tutorial 1 on Relevant Topic in Your Field
Published in UC-Berkeley Institute for Testing Science, 2013Download Paper | Download BibTeX
Talk 2 on Relevant Topic in Your Field
Published in London School of Testing, 2014Download Paper | Download BibTeX
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published in Testing Institute of America 2014 Annual Conference, 2014This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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teaching
Teaching experience 1
Published in University 1, Department, 2014This is a description of a teaching experience. You can use markdown like any other post.
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Teaching experience 2
Published in University 1, Department, 2015This is a description of a teaching experience. You can use markdown like any other post.
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