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This work proposes FireRedTTS, a foundation text-to-speech framework, to meet the growing demands for personalized and diverse generative speech applications.
Natural TTS synthesis by conditioning wavenet on mel spectrogram predictions
Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, and Yonghui Wu · 2017
Earlier work this paper cites.
Neural discrete representation learning
Aaron van den Oord, Oriol Vinyals, and koray kavukcuoglu · 2017
Earlier work this paper cites.
Voice activity detection based on time-delay neural networks
Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengqi Wen, and Bin Liu · 2019
Earlier work this paper cites.
Two-pass end-to-end speech recognition
Tara N Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, et al · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Earlier work this paper cites.
Conversational end-to-end TTS for voice agents
Haohan Guo, Shaofei Zhang, Frank K Soong, Lei He, and Lei Xie · 2021
Earlier work this paper cites.
Neural dubber: Dubbing for videos according to scripts
Chenxu Hu, Qiao Tian, Tingle Li, Wang Yuping, Yuxuan Wang, and Hang Zhao · 2021
Earlier work this paper cites.
FastSpeech 2: Fast and high-quality end-to-end text to speech
Yi Ren, Chenxu Hu, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, and Tie-Yan Liu · 2021
Earlier work this paper cites.
Hubert: Self-supervised speech representation learning by masked prediction of hidden units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia, Ruslan Salakhutdinov, and Abdelrahman Mohamed · 2021
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Ecapa-tdnn embeddings for speaker diarization
Nauman Dawalatabad, Mirco Ravanelli, François Grondin, Jenthe Thienpondt, Brecht Desplanques, and Hwidong Na · 2021
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A survey on in-context learning
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, and Zhifang Sui · 2022
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Deepfilternet: A low complexity speech enhancement framework for full-band audio based on deep filtering
Hendrik Schroter, Alberto N Escalante-B, Tobias Rosenkranz, and Andreas Maier · 2022
Earlier work this paper cites.
Dnsmos p. 835: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors
Chandan KA Reddy, Vishak Gopal, and Ross Cutler · 2022
Cited alongside, same era.
Flow matching for generative modeling
Yaron Lipman, Ricky TQ Chen, Heli Ben-Hamu, Maximilian Nickel, and Matt Le · 2022
Cited alongside, same era.
Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Cited alongside, same era.
Pheme: Efficient and conversational speech generation
Paweł Budzianowski, Taras Sereda, Tomasz Cichy, and Ivan Vulić · 2024
Closest in time.
M3tts: Multi-modal text-to-speech of multi-scale style control for dubbing
Yan Liu, Li-Fang Wei, Xinyuan Qian, Tian-Hao Zhang, Song-Lu Chen, and Xu-Cheng Yin · 2024
Closest in time.
Base tts: Lessons from building a billion-parameter text-to-speech model on 100k hours of data
Mateusz Lajszczak, Guillermo Cámbara, Yang Li, Fatih Beyhan, Arent van Korlaar, Fan Yang, Arnaud Joly, Álvaro Martín-Cortinas, Ammar Abbas, Adam Michalski, et al · 2024
Closest in time.
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
Closest in time.
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Cited alongside, same era.
Chatgpt is not all you need. a state of the art review of large generative ai models
Roberto Gozalo-Brizuela and Eduardo C Garrido-Merchan · 2023
Cited alongside, same era.
Speak foreign languages with your own voice: Cross-lingual neural codec language modeling
Ziqiang Zhang, Long Zhou, Chengyi Wang, Sanyuan Chen, Yu Wu, Shujie Liu, Zhuo Chen, Yanqing Liu, Huaming Wang, Jinyu Li, Lei He, Sheng Zhao, and Furu Wei · 2023
Cited alongside, same era.
Better speech synthesis through scaling
James Betker · 2023
Cited alongside, same era.
Hybrid transformers for music source separation
Simon Rouard, Francisco Massa, and Alexandre Défossez · 2023
Cited alongside, same era.
Wespeaker: A research and production oriented speaker embedding learning toolkit
Hongji Wang, Chengdong Liang, Shuai Wang, Zhengyang Chen, Binbin Zhang, Xu Xiang, Yanlei Deng, and Yanmin Qian · 2023
Cited alongside, same era.
Robust speech recognition via large-scale weak supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever · 2023
Cited alongside, same era.
BigVGAN: A universal neural vocoder with large-scale training
Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, and Sungroh Yoon · 2023
Cited alongside, same era.
Zhihao Du, Qian Chen, Shiliang Zhang, Kai Hu, Heng Lu, Yexin Yang, Hangrui Hu, Siqi Zheng, Yue Gu, Ziyang Ma, et al · 2024
Closest in time.
Autoprep: An automatic preprocessing framework for in-the-wild speech data
Jianwei Yu, Hangting Chen, Yanyao Bian, Xiang Li, Yi Luo, Jinchuan Tian, Mengyang Liu, Jiayi Jiang, and Shuai Wang · 2024
Closest in time.
Haohan Guo, Fenglong Xie, Dongchao Yang, Hui Lu, Xixin Wu, and Helen Meng · 2024
Closest in time.
Audiosr: Versatile audio super-resolution at scale
Haohe Liu, Ke Chen, Qiao Tian, Wenwu Wang, and Mark D Plumbley · 2024
Closest in time.
Matcha-tts: A fast tts architecture with conditional flow matching
Shivam Mehta, Ruibo Tu, Jonas Beskow, Éva Székely, and Gustav Eje Henter · 2024
Closest in time.
Haohan Guo, Fenglong Xie, Kun Xie, Dongchao Yang, Dake Guo, Xixin Wu, and Helen Meng · 2024
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Simple and controllable music generation
Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, and Alexandre Défossez · 2024
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Icassp 2023 deep noise suppression challenge
Harishchandra Dubey, Ashkan Aazami, Vishak Gopal, Babak Naderi, Sebastian Braun, Ross Cutler, Alex Ju, Mehdi Zohourian, Min Tang, Mehrsa Golestaneh, et al · 2024
Closest in time.