LGFeb 24, 2022
N-dimensional nonlinear prediction with MLP
arXiv:2202.13866v12 citations
Originality Synthesis-oriented
AI Analysis
This work addresses speech coding efficiency for audio compression applications, but it appears incremental as it builds directly on their prior ADPCM coder.
The authors tackled speech coding by proposing a Non-Linear Predictive Vector quantizer based on Multi-Layer Perceptrons, which improved their previous ADPCM coder and reduced the bit rate by up to 1 bit per sample.
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.