The Sound Demixing Challenge 2023 - Music Demixing Track - Giorgio Fabbro; Stefan Uhlich; Chieh-Hsin Lai; Woosung Choi; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Igor Gadelha; Geraldo Ramos; Eddie Hsu; Hugo Rodrigues; Fabian-Robert Stöter; Alexandre Défossez; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes - Yuhta Takida; Yukara Ikemiya; Takashi Shibuya; Kazuki Shimada; Woosung Choi; Chieh-Hsin Lai; Naoki Murata; Toshimitsu Uesaka; Kengo Uchida; Wei-Hsiang Liao; Yuki Mitsufuji (Trans. Mach. Learn. Res., 2024)

On the Language Encoder of Contrastive Cross-modal Models - Mengjie Zhao; Junya Ono; Zhi Zhong; Chieh-Hsin Lai; Yuhta Takida; Naoki Murata; Wei-Hsiang Liao; Takashi Shibuya; Hiromi Wakaki; Yuki Mitsufuji (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance - Carlos Hernandez-Olivan; Koichi Saito; Naoki Murata; Chieh-Hsin Lai; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Yuki Mitsufuji (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription - Frank Cwitkowitz; Kin Wai Cheuk; Woosung Choi; Marco A. Martínez Ramírez; Keisuke Toyama; Wei-Hsiang Liao; Yuki Mitsufuji (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Manifold Preserving Guided Diffusion - Yutong He; Naoki Murata; Chieh-Hsin Lai; Yuhta Takida; Toshimitsu Uesaka; Dongjun Kim; Wei-Hsiang Liao; Yuki Mitsufuji; J. Zico Kolter; Ruslan Salakhutdinov; Stefano Ermon (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion - Dongjun Kim; Chieh-Hsin Lai; Wei-Hsiang Liao; Naoki Murata; Yuhta Takida; Toshimitsu Uesaka; Yutong He; Yuki Mitsufuji; Stefano Ermon (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models - Yixiao Zhang; Yukara Ikemiya; Gus Xia; Naoki Murata; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Yuki Mitsufuji; Simon Dixon (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

Towards Assessing Data Replication in Music Generation With Music Similarity Metrics on Raw Audio - Roser Batlle-Roca; Wei-Hsiang Liao; Xavier Serra; Yuki Mitsufuji; Emilia Gómez (Proceedings of the 25th International Society for Music Information Retrieval Conference, ISMIR 2024, San Francisco, California, USA and Online, November 10-14, 2024, 2024)

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher - Dongjun Kim; Chieh-Hsin Lai; Wei-Hsiang Liao; Yuhta Takida; Naoki Murata; Toshimitsu Uesaka; Yuki Mitsufuji; Stefano Ermon (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes - Yuhta Takida; Yukara Ikemiya; Takashi Shibuya; Kazuki Shimada; Woosung Choi; Chieh-Hsin Lai; Naoki Murata; Toshimitsu Uesaka; Kengo Uchida; Wei-Hsiang Liao; Yuki Mitsufuji (CoRR, 2024)

MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models - Yixiao Zhang; Yukara Ikemiya; Gus Xia; Naoki Murata; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Yuki Mitsufuji; Simon Dixon (CoRR, 2024)

MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage - Hao Hao Tan; Kin Wai Cheuk; Taemin Cho; Wei-Hsiang Liao; Yuki Mitsufuji (CoRR, 2024)

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher - Dongjun Kim; Chieh-Hsin Lai; Wei-Hsiang Liao; Yuhta Takida; Naoki Murata; Toshimitsu Uesaka; Yuki Mitsufuji; Stefano Ermon (CoRR, 2024)

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning - Yixiao Zhang; Yukara Ikemiya; Woosung Choi; Naoki Murata; Marco A. Martínez Ramírez; Liwei Lin; Gus Xia; Wei-Hsiang Liao; Yuki Mitsufuji; Simon Dixon (CoRR, 2024)

Searching For Music Mixing Graphs: A Pruning Approach - Sungho Lee; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Stefan Uhlich; Giorgio Fabbro; Kyogu Lee; Yuki Mitsufuji (CoRR, 2024)

SilentCipher: Deep Audio Watermarking - Mayank Kumar Singh; Naoya Takahashi; Wei-Hsiang Liao; Yuki Mitsufuji (CoRR, 2024)

Improving Unsupervised Clean-to-Rendered Guitar Tone Transformation Using GANs and Integrated Unaligned Clean Data - Yu-Hua Chen; Woosung Choi; Wei-Hsiang Liao; Marco A. Martínez Ramírez; Kin Wai Cheuk; Yuki Mitsufuji; Jyh-Shing Roger Jang; Yi-Hsuan Yang (CoRR, 2024)

Towards Assessing Data Replication in Music Generation with Music Similarity Metrics on Raw Audio - Roser Batlle-Roca; Wei-Hsiang Liao; Xavier Serra; Yuki Mitsufuji; Emilia Gómez (CoRR, 2024)

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch - Sungho Lee; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Stefan Uhlich; Giorgio Fabbro; Kyogu Lee; Yuki Mitsufuji (CoRR, 2024)

DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation - Yin-Jyun Luo; Kin Wai Cheuk; Woosung Choi; Toshimitsu Uesaka; Keisuke Toyama; Koichi Saito; Chieh-Hsin Lai; Yuhta Takida; Wei-Hsiang Liao; Simon Dixon; Yuki Mitsufuji (CoRR, 2024)

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer - Michele Mancusi; Yurii Halychanskyi; Kin Wai Cheuk; Chieh-Hsin Lai; Stefan Uhlich; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Giorgio Fabbro; Yuki Mitsufuji (CoRR, 2024)

LOCKEY: A Novel Approach to Model Authentication and Deepfake Tracking - Mayank Kumar Singh; Naoya Takahashi; Wei-Hsiang Liao; Yuki Mitsufuji (CoRR, 2024)

Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning - Ayano Hiranaka; Shang-Fu Chen; Chieh-Hsin Lai; Dongjun Kim; Naoki Murata; Takashi Shibuya; Wei-Hsiang Liao; Shao-Hua Sun; Yuki Mitsufuji (CoRR, 2024)

VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression - Yunkee Chae; Woosung Choi; Yuhta Takida; Junghyun Koo; Yukara Ikemiya; Zhi Zhong; Kin Wai Cheuk; Marco A. Martínez Ramírez; Kyogu Lee; Wei-Hsiang Liao; Yuki Mitsufuji (CoRR, 2024)

OpenMU: Your Swiss Army Knife for Music Understanding - Mengjie Zhao; Zhi Zhong; Zhuoyuan Mao; Shiqi Yang; Wei-Hsiang Liao; Shusuke Takahashi; Hiromi Wakaki; Yuki Mitsufuji (CoRR, 2024)

Music Foundation Model as Generic Booster for Music Downstream Tasks - Wei-Hsiang Liao; Yuhta Takida; Yukara Ikemiya; Zhi Zhong; Chieh-Hsin Lai; Giorgio Fabbro; Kazuki Shimada; Keisuke Toyama; Kin Wai Cheuk; Marco A. Martínez Ramírez; Shusuke Takahashi; Stefan Uhlich; et al. (CoRR, 2024)

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects - Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Stefan Uhlich; Kyogu Lee; Yuki Mitsufuji (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

GNN-Based Point Cloud Maps Feature Extraction and Residual Feature Fusion for 3D Object Detection - Wei-Hsiang Liao; Chieh-Chih Wang; Wen-Chieh Lin (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Automatic Piano Transcription With Hierarchical Frequency-Time Transformer - Keisuke Toyama; Taketo Akama; Yukara Ikemiya; Yuhta Takida; Wei-Hsiang Liao; Yuki Mitsufuji (Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023, 2023)

Automatic Piano Transcription with Hierarchical Frequency-Time Transformer - Keisuke Toyama; Taketo Akama; Yukara Ikemiya; Yuhta Takida; Wei-Hsiang Liao; Yuki Mitsufuji (CoRR, 2023)

The Sound Demixing Challenge 2023 - Music Demixing Track - Giorgio Fabbro; Stefan Uhlich; Chieh-Hsin Lai; Woosung Choi; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Igor Gadelha; Geraldo Ramos; Eddie Hsu; Hugo Rodrigues; Fabian-Robert Stöter; Alexandre Défossez; et al. (CoRR, 2023)

VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance - Carlos Hernandez-Olivan; Koichi Saito; Naoki Murata; Chieh-Hsin Lai; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Yuki Mitsufuji (CoRR, 2023)

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription - Frank Cwitkowitz; Kin Wai Cheuk; Woosung Choi; Marco A. Martínez Ramírez; Keisuke Toyama; Wei-Hsiang Liao; Yuki Mitsufuji (CoRR, 2023)

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion - Dongjun Kim; Chieh-Hsin Lai; Wei-Hsiang Liao; Naoki Murata; Yuhta Takida; Toshimitsu Uesaka; Yutong He; Yuki Mitsufuji; Stefano Ermon (CoRR, 2023)

On the Language Encoder of Contrastive Cross-modal Models - Mengjie Zhao; Junya Ono; Zhi Zhong; Chieh-Hsin Lai; Yuhta Takida; Naoki Murata; Wei-Hsiang Liao; Takashi Shibuya; Hiromi Wakaki; Yuki Mitsufuji (CoRR, 2023)

Manifold Preserving Guided Diffusion - Yutong He; Naoki Murata; Chieh-Hsin Lai; Yuhta Takida; Toshimitsu Uesaka; Dongjun Kim; Wei-Hsiang Liao; Yuki Mitsufuji; J. Zico Kolter; Ruslan Salakhutdinov; Stefano Ermon (CoRR, 2023)

Preventing oversmoothing in VAE via generalized variance parameterization - Yuhta Takida; Wei-Hsiang Liao; Chieh-Hsin Lai; Toshimitsu Uesaka; Shusuke Takahashi; Yuki Mitsufuji (Neurocomputing, 2022)

Reconstruction and Synthesis of Lidar Point Clouds of Spray - Yi-Chien Shih; Wei-Hsiang Liao; Wen-Chieh Lin; Sai-Keung Wong; Chieh-Chih Wang (IEEE Robotics Autom. Lett., 2022)

Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks - Bo-Yu Chen; Wei-Han Hsu; Wei-Hsiang Liao; Marco A. Martínez Ramírez; Yuki Mitsufuji; Yi-Hsuan Yang (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization - Yuhta Takida; Takashi Shibuya; Wei-Hsiang Liao; Chieh-Hsin Lai; Junki Ohmura; Toshimitsu Uesaka; Naoki Murata; Shusuke Takahashi; Toshiyuki Kumakura; Yuki Mitsufuji (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Automatic music mixing with deep learning and out-of-domain data - Marco A. Martínez Ramírez; Wei-Hsiang Liao; Chihiro Nagashima; Giorgio Fabbro; Stefan Uhlich; Yuki Mitsufuji (Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022, 2022)

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization - Yuhta Takida; Takashi Shibuya; Wei-Hsiang Liao; Chieh-Hsin Lai; Junki Ohmura; Toshimitsu Uesaka; Naoki Murata; Shusuke Takahashi; Toshiyuki Kumakura; Yuki Mitsufuji (CoRR, 2022)

Automatic music mixing with deep learning and out-of-domain data - Marco A. Martínez Ramírez; Wei-Hsiang Liao; Giorgio Fabbro; Stefan Uhlich; Chihiro Nagashima; Yuki Mitsufuji (CoRR, 2022)

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects - Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao; Stefan Uhlich; Kyogu Lee; Yuki Mitsufuji (CoRR, 2022)

Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE - Yuhta Takida; Wei-Hsiang Liao; Toshimitsu Uesaka; Shusuke Takahashi; Yuki Mitsufuji (CoRR, 2021)

Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks - Bo-Yu Chen; Wei-Han Hsu; Wei-Hsiang Liao; Marco A. Martínez Ramírez; Yuki Mitsufuji; Yi-Hsuan Yang (CoRR, 2021)

Modelling and transformation of sound textures and environmental sounds. (Modélisation et transformation de textures sonores et des sons environnementaux) - Wei-Hsiang Liao (Pierre and Marie Curie University, Paris, France, 2015)

Structure Based Derived Uniform Formula for Siphon, Its Complementary Set and T-Characteristic Vectors - Daniel Yuh Chao; Yen-Liang Pan; Wei-Hsiang Liao (7th IFAC Conference on Manufacturing Modelling, Management, and Control, MIM 2013, Saint Petersburg, Russia, June 19-21, 2013, 2013)

Investigation of Curtain Mura in TFT-TN panels after COG ACF process - Sheng-Ya Wang; Wei-Hsiang Liao; Kei-Hsiung Yang (Displays, 2012)

A SOT based digital audio coder using reference frame ordering method - Yu-Lin Wang; Wei-Hsiang Liao; Alvin Wen-Yu Su (International Symposium on Circuits and Systems (ISCAS 2010), May 30 - June 2, 2010, Paris, France, 2010)

Weighted order statistics filters-their classification, some properties, and conversion algorithm - Pao-Ta Yu; Wei-Hsiang Liao (IEEE Trans. Signal Process., 1994)

A fast algorithm for checking the relationship between stack filters and weighted median filters - Pao-Ta Yu; Wei-Hsiang Liao (1993 IEEE International Symposium on Circuits and Systems, ISCAS 1993, Chicago, Illinois, USA, May 3-6, 1993, 1993)