The role of machine learning in sound engineering: Opportunities and challenges for audio engineers
As technology continues to evolve, new tools are being developed that have the potential to revolutionize the way that sound engineering is done. One of these tools is machine learning, which is a type of artificial intelligence that allows machines to learn from data and improve their performance over time. In the field of sound engineering, machine learning can be used to automate many of the tasks that audio engineers traditionally perform manually, such as noise reduction, equalization, and compression.
But while machine learning holds great promise for the future of sound engineering, it also presents a number of challenges. In this post, we'll explore the role of machine learning in sound engineering, as well as some of the opportunities and challenges that it presents for audio engineers.
Opportunities
