AI system automates audio resonance equalization

Researchers have developed a two-part system to automate the process of resonance equalization in audio production. The system includes a dynamic equalizer that identifies and attenuates resonances, and a deep neural network that predicts the optimal attenuation factor. This neural network, trained on data from sound engineers, utilizes a dilated residual network architecture that performs comparably to models requiring prior feature extraction. AI

IMPACT This research could lead to more efficient and accurate audio production tools, potentially lowering the barrier to entry for professional sound engineering.

RANK_REASON Academic paper detailing a novel AI application in audio processing. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• arXiv
• Dilated Residual Networks with Symmetric Skip Connection for image denoising
• Emmanuel Deruty
• Hugging Face

• paper
• product

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