ADPCM with nonlinear prediction
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Abstract (arXiv)
Many speech coders are based on linear prediction coding (LPC), nevertheless with LPC is not possible to model the nonlinearities present in the speech signal. Because of this there is a growing interest for nonlinear techniques. In this paper we discuss ADPCM schemes with a nonlinear predictor based on neural nets, which yields an increase of 1-2.5dB in the SEGSNR over classical methods. This paper will discuss the block-adaptive and sample-adaptive predictions.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 8 references that are in the map. First posted on arXiv 24 Feb 2022.
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