Audio AI: isolating vocals from stereo music using Convolutional Neural Networks
Analysis
This article discusses the application of Convolutional Neural Networks (CNNs) in audio AI, specifically for the task of vocal isolation from stereo music. The source, Hacker News, suggests a technical focus and likely a discussion of the methodology and potential challenges. The topic is relevant to ongoing research in audio processing and machine learning.
Key Takeaways
- •Focus on using CNNs for audio source separation.
- •Application in isolating vocals from stereo music.
- •Likely technical discussion of the methodology.
Reference
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