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Autoregressive (AR) models have demonstrated impressive capabilities in generating high-fidelity music.
Musical thought and compositionality
Christopher Bartel · 2006
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Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber · 2006
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The art of music production: The theory and practice
Richard James Burgess · 2013
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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Audio set: An ontology and human-labeled dataset for audio events
Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter · 2017
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Demucs: Deep extractor for music sources with extra unlabeled data remixed
Alexandre Défossez, Nicolas Usunier, Léon Bottou, and Francis Bach · 2019
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Fréchet audio distance: A reference-free metric for evaluating music enhancement algorithms
Kevin Kilgour, Mauricio Zuluaga, Dominik Roblek, and Matthew Sharifi · 2019
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Musdb18-hq-an uncompressed version of musdb18
Zafar Rafii, Antoine Liutkus, Fabian-Robert Stöter, Stylianos Ioannis Mimilakis, and Rachel Bittner · 2019
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Jukebox: A generative model for music
Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, and Ilya Sutskever · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Audio-based music structure analysis: Current trends, open challenges, and applications
Oriol Nieto, Gautham J Mysore, Cheng-i Wang, Jordan BL Smith, Jan Schlüter, Thomas Grill, and Brian McFee · 2020
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The k-means algorithm: A comprehensive survey and performance evaluation
Mohiuddin Ahmed, Raihan Seraj, and Syed Mohammed Shamsul Islam · 2020
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wav2vec 2.0: A framework for self-supervised learning of speech representations
Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli · 2020
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Conformer: Convolution-augmented transformer for speech recognition
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, et al · 2020
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Soundstream: An end-to-end neural audio codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, and Marco Tagliasacchi · 2021
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W2v-bert: Combining contrastive learning and masked language modeling for self-supervised speech pre-training
Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, and Yonghui Wu · 2021
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On fast sampling of diffusion probabilistic models
Zhifeng Kong and Wei Ping · 2021
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Hybrid spectrogram and waveform source separation
Alexandre Défossez · 2021
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Musika! fast infinite waveform music generation
Marco Pasini and Jan Schlüter · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou · 2022
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Challenging big-bench tasks and whether chain-of-thought can solve them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V Le, Ed H Chi, Denny Zhou, et al · 2022
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Self-supervised learning with random-projection quantizer for speech recognition
Chung-Cheng Chiu, James Qin, Yu Zhang, Jiahui Yu, and Yonghui Wu · 2022
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Progressive distillation for fast sampling of diffusion models
All-in-one metrical and functional structure analysis with neighborhood attentions on demixed audio
Taejun Kim and Juhan Nam · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023
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Disco-10m: A large-scale music dataset
Luca Lanzendörfer, Florian Grötschla, Emil Funke, and Roger Wattenhofer · 2023
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Hybrid transformers for music source separation
Simon Rouard, Francisco Massa, and Alexandre Défossez · 2023
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Stemgen: A music generation model that listens
Julian D Parker, Janne Spijkervet, Katerina Kosta, Furkan Yesiler, Boris Kuznetsov, Ju-Chiang Wang, Matt Avent, Jitong Chen, and Duc Le · 2024
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Tim Salimans and Jonathan Ho · 2022
Cited alongside, same era.
Mulan: A joint embedding of music audio and natural language
Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, and Daniel PW Ellis · 2022
Cited alongside, same era.
An introduction to audio content analysis: Music Information Retrieval tasks and applications
Alexander Lerch · 2022
Cited alongside, same era.
Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
Cited alongside, same era.
Audiogen: Textually guided audio generation
Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, and Yossi Adi · 2022
Cited alongside, same era.
Musiclm: Generating music from text
Andrea Agostinelli, Timo I Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, et al · 2023
Cited alongside, same era.
Simple and controllable music generation
Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, and Alexandre Défossez · 2023
Cited alongside, same era.
Audioldm: Text-to-audio generation with latent diffusion models
Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, and Mark D Plumbley · 2023
Cited alongside, same era.
Musicldm: Enhancing novelty in text-to-music generation using beat-synchronous mixup strategies
Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, and Shlomo Dubnov · 2024
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Jen-1: Text-guided universal music generation with omnidirectional diffusion models
Peike Patrick Li, Boyu Chen, Yao Yao, Yikai Wang, Allen Wang, and Alex Wang · 2024
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Fast timing-conditioned latent audio diffusion
Zach Evans, CJ Carr, Josiah Taylor, Scott H Hawley, and Jordi Pons · 2024
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Seed-music: A unified framework for high quality and controlled music generation
Ye Bai, Haonan Chen, Jitong Chen, Zhuo Chen, Yi Deng, Xiaohong Dong, Lamtharn Hantrakul, Weituo Hao, Qingqing Huang, Zhongyi Huang, et al · 2024
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Songcreator: Lyrics-based universal song generation
Shun Lei, Yixuan Zhou, Boshi Tang, Max WY Lam, Hangyu Liu, Jingcheng Wu, Shiyin Kang, Zhiyong Wu, Helen Meng, et al · 2024
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Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Alex Vaughan, et al · 2024
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Seed-tts: A family of high-quality versatile speech generation models
Philip Anastassiou, Jiawei Chen, Jitong Chen, Yuanzhe Chen, Zhuo Chen, Ziyi Chen, Jian Cong, Lelai Deng, Chuang Ding, Lu Gao, et al · 2024
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Training large language models to reason in a continuous latent space
Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason Weston, and Yuandong Tian · 2024
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Aaron Jaech, Adam Kalai, Adam Lerer, Adam Richardson, Ahmed El-Kishky, Aiden Low, Alec Helyar, Aleksander Madry, Alex Beutel, Alex Carney, et al · 2024
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Language is primarily a tool for communication rather than thought
Evelina Fedorenko, Steven T Piantadosi, and Edward AF Gibson · 2024
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Codec does matter: Exploring the semantic shortcoming of codec for audio language model
Zhen Ye, Peiwen Sun, Jiahe Lei, Hongzhan Lin, Xu Tan, Zheqi Dai, Qiuqiang Kong, Jianyi Chen, Jiahao Pan, Qifeng Liu, et al · 2024
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Yue: Scaling open foundation models for long-form music generation
Ruibin Yuan, Hanfeng Lin, Shuyue Guo, Ge Zhang, Jiahao Pan, Yongyi Zang, Haohe Liu, Yiming Liang, Wenye Ma, Xingjian Du, et al · 2025
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al · 2025
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Spark-tts: An efficient llm-based text-to-speech model with single-stream decoupled speech tokens
Xinsheng Wang, Mingqi Jiang, Ziyang Ma, Ziyu Zhang, Songxiang Liu, Linqin Li, Zheng Liang, Qixi Zheng, Rui Wang, Xiaoqin Feng, et al · 2025
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Optimizing temperature for language models with multi-sample inference
Weihua Du, Yiming Yang, and Sean Welleck · 2025
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Meta audiobox aesthetics: Unified automatic quality assessment for speech, music, and sound
Andros Tjandra, Yi-Chiao Wu, Baishan Guo, John Hoffman, Brian Ellis, Apoorv Vyas, Bowen Shi, Sanyuan Chen, Matt Le, Nick Zacharov, et al · 2025
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