The application of artificial intelligence in audio is not a recent development, and it’s not coming for our jobs, but it is coming for our audiences. The past year has seen several advances in how AI is impacting audio, and it’s happening on both sides of the production chain, writes Kevin Emmott.
Most if not all audio engineers working in broadcast will have benefitted from artificial intelligence (AI) at some stage in their workflows; machine learning (ML) and AI have been helping clean up audio signals for almost 30 years now. Noise reduction and forensic audio specialist Cedar Audio has been applying machine learning to transparently clean up signals since the 1990s, and those concepts are still being used today...
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