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AES E-Library » Application of ML-Based Time Series Forecasting to Audio Dynamic Range Compression
AES E-Library Application of ML-Based Time Series Forecasting to Audio Dynamic Range Compression Time Series Forecasting (TSF) is used in astronomy, geology, weather forecasting, and finance to name a few. Recent research [1] has shown that, combined with
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Brunet, Pascal, Yuan Li, and Soohyun Kim. "Application of ML-Based Time Series Forecasting to Audio Dynamic Range Compression." Audio Engineering Society Convention 155. Audio Engineering Society, 2023.
I built the entire PyTorch codebase, conducted the experiments, and performed the mathematical analysis presented in this paper, detailed in Section 4, 'Network Architectures & Training.'
I am also the sole author of this section 4.
Photos at AES NY 2023:
