mlsanityData to 7 Oct 2026

High-quality speech coding with SampleRNN

arXiv 1811.03021 ↗First posted 7 Nov 2018eess.AS cs.SDcited by 14

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Abstract (arXiv)

We provide a speech coding scheme employing a generative model based on SampleRNN that, while operating at significantly lower bitrates, matches or surpasses the perceptual quality of state-of-the-art classic wide-band codecs. Moreover, it is demonstrated that the proposed scheme can provide a meaningful rate-distortion trade-off without retraining. We evaluate the proposed scheme in a series of listening tests and discuss limitations of the approach.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Nov 2018.

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Citing papers per year: 2021: 4; 2022: 6; 2023: 0; 2024: 3; 2025: 1.

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