11/28/2023 0 Comments Adobe audition song mixing![]() In the case of Smart: EQ 3, the system learned to transform ‘bad data’ (eg signals with spectral deficiencies) into ‘good data’ (eg signals with a nice spectral balance). “ uses a system that is mainly trained by huge amounts of data. ![]() It already had the option to automatically correct the spectral deficiencies of a signal by observing its spectral and temporal characteristics.Īny system that is capable of performing tasks normally requiring human intelligence can per definition be called an ‘AI-based system’Īt this time, we were mainly using ‘classical’ statistics-based machine learning algorithms, though later updates of our Smart: Filtering technology started to incorporate deep learning (deep neural networks).” Alexander elaborates on deep learning, and tells us that this is typically what people are referring to when discussing AI, confirming Denis’s assessment: “Any system that is capable of performing tasks normally requiring human intelligence can per definition be called an ‘AI-based system’ – no matter if some other machine-learning-based approach is used to solve a certain task.”Īlexander goes on to tell us how the deep learning algorithms within Smart: EQ 3 are actually programmed. “Our first software product ‘Frei:Raum’ was released in January 2015. Among their wares, the extraordinary Smart: EQ 3 and the content aware Smart: Limit, each of which are directed by deep-coded virtual thought processes to fulfil their aims.Īlexander Wankhammer, Sonible’s CMO and co-founder, explained to us how the company first took their fleeting first steps into AI. This popular range spans many mixing applications, each of which are finely tailored to intelligently hone in on particular audio issues. Software can do things analogue never could, and allows imagining solutions that were simply unimaginable even just 20 years ago.” This helps clarify, too, that the software doesn’t aim to reproduce analogue gear or old-school workflows etc, which was all the rage before companies like Zynaptiq started pushing the use of AI/smart stuff from 2012 onwards. Software can do things analogue never could “You can read it as ‘we aim to make a better solution that takes some of the burden of your task off of you by means of state-of-the-art statistics software tech from the field of artificial intelligence’. ![]() “The terms ‘AI’ and ‘Smart’ are really primarily used for marketing purposes, which is useful as the terms convey the product idea very clearly on a level of intent,” Denis Goekdag, Zynaptiq’s CEO explains to us. While learning the intricacies of music production is something we’re always keen to promote on MusicRadar, companies like Zynaptiq and iZotope noticed that for the many time-devouring processes, the application of AI could not only provide footbridges over the numerous pitfalls of production, but also solve issues that human beings found a challenge.
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