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We introduce MiniMax-Speech, an autoregressive Transformer-based Text-to-Speech (TTS) model that generates high-quality speech.
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NICE: non-linear independent components estimation
Laurent Dinh, David Krueger, and Yoshua Bengio · 2015
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Variational inference with normalizing flows
Danilo Rezende and Shakir Mohamed · 2015
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Wavenet: A generative model for raw audio
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, and Koray Kavukcuoglu · 2016
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Neural discrete representation learning
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Attention is all you need
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Efficient neural audio synthesis
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Glow: Generative flow with invertible 1x1 convolutions
Durk P Kingma and Prafulla Dhariwal · 2018
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Melgan: Generative adversarial networks for conditional waveform synthesis
Kundan Kumar, Rithesh Kumar, Thibault De Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre De Brebisson, Yoshua Bengio, and Aaron C Courville · 2019
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LPCNet: Improving Neural Speech Synthesis Through Linear Prediction
Jean-Marc Valin and Jan Skoglund · 2019
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Common voice: A massively-multilingual speech corpus
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Language models are few-shot learners
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Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech
Jaehyeon Kim, Jungil Kong, and Juhee Son · 2021
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Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang · 2021
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P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks
Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Lam Tam, Zhengxiao Du, Zhilin Yang, and Jie Tang · 2021
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Multi-band melgan: Faster waveform generation for high-quality text-to-speech
Geng Yang, Shan Yang, Kai Liu, Peng Fang, Wei Chen, and Lei Xie · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al · 2022
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Better speech synthesis through scaling
James Betker · 2023
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E2 tts: Embarrassingly easy fully non-autoregressive zero-shot tts
Sefik Emre Eskimez, Xiaofei Wang, Manthan Thakker, Canrun Li, Chung-Hsien Tsai, Zhen Xiao, Hemin Yang, Zirun Zhu, Min Tang, Xu Tan, et al · 2024
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Fireredtts: A foundation text-to-speech framework for industry-level generative speech applications
Hao-Han Guo, Yao Hu, Kun Liu, Fei-Yu Shen, Xu Tang, Yi-Chen Wu, Feng-Long Xie, Kun Xie, and Kai-Tuo Xu · 2024
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Chia-Yu Hung, Navonil Majumder, Zhifeng Kong, Ambuj Mehrish, Amir Ali Bagherzadeh, Chuan Li, Rafael Valle, Bryan Catanzaro, and Soujanya Poria · 2024
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Naturalspeech 3: Zero-shot speech synthesis with factorized codec and diffusion models
Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, and Sheng Zhao · 2024
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Audiolm: a language modeling approach to audio generation
Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matt Sharifi, Dominik Roblek, Olivier Teboul, David Grangier, Marco Tagliasacchi, et al · 2023
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E3 tts: Easy end-to-end diffusion-based text to speech
Yuan Gao, Nobuyuki Morioka, Yu Zhang, and Nanxin Chen · 2023
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Funasr: A fundamental end-to-end speech recognition toolkit
Zhifu Gao, Zerui Li, Jiaming Wang, Haoneng Luo, Xian Shi, Mengzhe Chen, Yabin Li, Lingyun Zuo, Zhihao Du, and Shiliang Zhang · 2023
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Voicebox: Text-guided multilingual universal speech generation at scale
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, et al · 2023
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Flow matching for generative modeling
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, and Matthew Le · 2023
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Robust speech recognition via large-scale weak supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever · 2023
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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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Mateusz Łajszczak, Guillermo Cámbara, Yang Li, Fatih Beyhan, Arent Van Korlaar, Fan Yang, Arnaud Joly, Álvaro Martín-Cortinas, Ammar Abbas, Adam Michalski, et al · 2024
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Ditto-tts: Efficient and scalable zero-shot text-to-speech with diffusion transformer
Keon Lee, Dong Won Kim, Jaehyeon Kim, and Jaewoong Cho · 2024
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Matcha-tts: A fast tts architecture with conditional flow matching
Shivam Mehta, Ruibo Tu, Jonas Beskow, Éva Székely, and Gustav Eje Henter · 2024
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Naturalspeech: End-to-end text-to-speech synthesis with human-level quality
Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, et al · 2024
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Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, and Yoshua Bengio · 2024
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Maskgct: Zero-shot text-to-speech with masked generative codec transformer
Yuancheng Wang, Haoyue Zhan, Liwei Liu, Ruihong Zeng, Haotian Guo, Jiachen Zheng, Qiang Zhang, Xueyao Zhang, Shunsi Zhang, and Zhizheng Wu · 2024
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Dongchao Yang, Dingdong Wang, Haohan Guo, Xueyuan Chen, Xixin Wu, and Helen Meng · 2024
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Megatts 3: Sparse alignment enhanced latent diffusion transformer for zero-shot speech synthesis
Ziyue Jiang, Yi Ren, Ruiqi Li, Shengpeng Ji, Boyang Zhang, Zhenhui Ye, Chen Zhang, Bai Jionghao, Xiaoda Yang, Jialong Zuo, 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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