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Neural audio codecs (NACs) have garnered significant attention as key technologies for audio compression as well as audio representation for speech language models.
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J. Kong, J. Kim, and J. Bae, “Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,” Advances in neural information processing systems , vol. 33, pp. 17 022–17 033, 2020
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J. Kahn, M. Riviere, W. Zheng, E. Kharitonov, Q. Xu, P.-E. Mazaré, J. Karadayi, V. Liptchinsky, R. Collobert, C. Fuegen et al. , “Libri-light: A benchmark for asr with limited or no supervision,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 7669–7673
2020
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N. Zeghidour, A. Luebs, A. Omran, J. Skoglund, and M. Tagliasacchi, “Soundstream: An end-to-end neural audio codec,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 30, pp. 495–507, 2021
2021
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W.-N. Hsu, B. Bolte, Y.-H. H. Tsai, K. Lakhotia, R. Salakhutdinov, and A. Mohamed, “Hubert: Self-supervised speech representation learning by masked prediction of hidden units,” IEEE/ACM transactions on audio, speech, and language processing , vol. 29, pp. 3451–3460, 2021
2021
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2022
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S. Chen, C. Wang, Z. Chen, Y. Wu, S. Liu, Z. Chen, J. Li, N. Kanda, T. Yoshioka, X. Xiao et al. , “Wavlm: Large-scale self-supervised pre-training for full stack speech processing,” IEEE Journal of Selected Topics in Signal Processing , vol. 16, no. 6, pp. 1505–1518, 2022
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2022
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Z. Borsos, R. Marinier, D. Vincent, E. Kharitonov, O. Pietquin, M. Sharifi, D. Roblek, O. Teboul, D. Grangier, M. Tagliasacchi et al. , “Audiolm: a language modeling approach to audio generation,” IEEE/ACM transactions on audio, speech, and language processing , vol. 31, pp. 2523–2533, 2023
2023
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2023
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T. A. Nguyen, E. Kharitonov, J. Copet, Y. Adi, W.-N. Hsu, A. Elkahky, P. Tomasello, R. Algayres, B. Sagot, A. Mohamed, and E. Dupoux, “Generative spoken dialogue language modeling,” Transactions of the Association for Computational Linguistics , vol. 11, pp. 250–266, 2023
2023
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L. Yu, D. Simig, C. Flaherty, A. Aghajanyan, L. Zettlemoyer, and M. Lewis, “Megabyte: Predicting million-byte sequences with multiscale transformers,” Advances in Neural Information Processing Systems , vol. 36, pp. 78 808–78 823, 2023
2024
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2024
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2024
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X. Wang, M. Thakker, Z. Chen, N. Kanda, S. E. Eskimez, S. Chen, M. Tang, S. Liu, J. Li, and T. Yoshioka, “Speechx: Neural codec language model as a versatile speech transformer,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , 2024
2024
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2023
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2023
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2023
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2023
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Y.-C. Wu, I. D. Gebru, D. Marković, and A. Richard, “Audiodec: An open-source streaming high-fidelity neural audio codec,” in ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2023, pp. 1–5
2023
Cited alongside, same era.
T. Okamoto, H. Yamashita, Y. Ohtani, T. Toda, and H. Kawai, “Wavenext: Convnext-based fast neural vocoder without istft layer,” in 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) . IEEE, 2023, pp. 1–8
2023
Cited alongside, same era.
2023
Cited alongside, same era.
M. Kim and J. Skoglund, “Neural speech and audio coding,” arXiv preprint arXiv:2408.06954 , 2024
2024
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H. Wu, H.-L. Chung et al. , “Codec-SUPERB: An in-depth analysis of sound codec models,” in Findings of ACL 2024 . Bangkok, Thailand: Association for Computational Linguistics, Aug. 2024, pp. 10 330–10 348. [Online]. Available: https://aclanthology.org/2024.findings-acl.616
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J. Copet, F. Kreuk, I. Gat, T. Remez, D. Kant, G. Synnaeve, Y. Adi, and A. Défossez, “Simple and controllable music generation,” Advances in Neural Information Processing Systems , vol. 36, 2024
2024
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Y. Ren, T. Wang, J. Yi, L. Xu, J. Tao, C. Y. Zhang, and J. Zhou, “Fewer-token neural speech codec with time-invariant codes,” in ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2024, pp. 12 737–12 741
2024
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Y. Zhang, “Hearing the agi from gmm hmm to gpt 4o,” 2024, lTI at CMU. [Online]. Available: https://www.youtube.com/watch?v=pRUrO0x637A
2024
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R. Kumar, P. Seetharaman, A. Luebs, I. Kumar, and K. Kumar, “High-fidelity audio compression with improved rvqgan,” Advances in Neural Information Processing Systems , vol. 36, 2024
2024
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