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👋 Hi, I’m @york135 (Jun-You Wang), a Post-doc researcher at MCTLab, Academia Sinica.
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I used to be a PhD student at MIRLAB, National Taiwan University, under the supervision of Prof. Jyh-Shing Roger Jang.
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👀 My research interests include several MIR tasks related to singing voice, including singing transcription, singing voice synthesis, singing voice conversion, lyrics transcription/alignment, etc. Recently, I am also interesting in speech processing and symbolic music processing.
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My google scholar page is: https://scholar.google.com/citations?hl=zh-TW&user=2cIdit0AAAAJ.
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🌱 I’m currently learning Japanese, English writing, and novel writing.
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📫 You can send an e-mail to reach me (junyou.wang@mirlab.org).
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I understand English, (Mandarin) Chinese, and Japanese (though I'm still not good at writing in Japanese), so feel free to contact me in these languages. I may reply in either English or traditional Chinese.
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I am currently responsible for maintaining the MIR-ST500 dataset (see https://ieeexplore.ieee.org/abstract/document/9414601/) and the MIR-MLPop dataset (see https://ieeexplore.ieee.org/abstract/document/10447561/). Feel free to ask me any question about these dataset :)
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Updated 2025.01.01 (Happy new year! Hope to see you in ICASSP 2025)
A post-doctoral researcher at MCTLab, Academia Sinica.
Popular repositories Loading
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singing_transcription_ICASSP2021
singing_transcription_ICASSP2021 PublicThe source code and pre-trained model of the paper "On the Preparation and Validation of a Large-scale Dataset"
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CTC_CE_for_AST
CTC_CE_for_AST PublicThe official repo/implementation of the paper "Training a Singing Transcription Model Using Connectionist Temporal Classification Loss and Cross-entropy Loss"
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zero_shot_svs_ASRU2023
zero_shot_svs_ASRU2023 PublicThe official implementation of the paper "Zero-shot singing voice synthesis from musical score"
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SSL_AR_ICASSP2025
SSL_AR_ICASSP2025 PublicThe official implementation of the paper "Similarity-based accent recognition with continuous and discrete self-supervised speech representations," ICASSP 2025.
Python 2
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