N-dimensional nonlinear prediction with MLP
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Abstract (arXiv)
In this paper we propose a Non-Linear Predictive Vector quantizer (PVQ) for speech coding, based on Multi-Layer Perceptrons. With this scheme we have improved the results of our previous ADPCM coder with nonlinear prediction, and we have reduced the bit rate up to 1 bit per sample.
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- 2022Non-linear predictive vector quantization of speech
- 2024Variable Bitrate Residual Vector Quantization for Audio Coding
- 2022A comparative study of several ADPCM schemes with linear and nonlinear prediction
- 2022Cross-Scale Vector Quantization for Scalable Neural Speech Coding
- 2024SNAC: Multi-Scale Neural Audio Codec
- 2023NVTC: Nonlinear Vector Transform Coding
- 2025Finite Scalar Quantization Enables Redundant and Transmission-Robust Neural Audio Compression at Low Bit-rates
- 2025Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine