Architecture for Variable Bitrate Neural Speech Codec with Configurable Computation Complexity

By T. Jayashankar, Thilo Köhler, Kaustubh Kalgaonkar, Zhiping Xiu, Jilong Wu, Ju Lin, Prabhav Agrawal, Qing He. 2022

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High Fidelity Neural Audio Compression (2022, methodology): “…(Kleijn et al., 2018; Valin & Skoglund, 2019b; Lim et al., 2020; Kleijn et al., 2021; Zeghidour et al., 2021; Omran et al., 2022; Lin et al., 2022; Jayashankar et al., 2022; Li et al.; Jiang et al., 2022), where most methods are based on quantizing the latent space before feeding it to the…”
HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec (2023, methodology): “al [19] proposes an auto-encoder with a vector quantization layer applied over the latent representation and minimizing the reconstruction loss.”