With the new Vocal Assistant, iZotope's latest innovation in Machine Learning technology, Nectar Elements analyzes and adapts to any user's vocal sound and automatically chooses the optimal setting to get you started. While some musicians oppose these advancements, others embrace the creative power and time-saving features. Join A3E in a case study on the development and application of iZotope’s latest release Neutron, and explore its powerful use of Machine Learning for professional mixes of your music in your favorite DAW.
What is assistive audio technology, and how does it work?
Since the 2016 release of Track Assistant in Neutron, iZotope has been developing assistive audio technology designed to remove the guesswork from audio production and make it more efficient. One of our major goals as a company is to find solutions to eliminate time-consuming audio production tasks for our users so they can focus on their creative visions.
Our assistive audio technology intelligently analyzes your audio and provides custom presets that are tailored to the sound you’re going for. We do this by combining years of intelligent digital signal processing (DSP) algorithm development with modern machine learning techniques to analyze your audio signal and make suggestions accordingly. Virtual dj echo effect free download.
Izotope Machine Learning Software
Generally speaking, our assistive audio technology consists of three pieces:
- High-level user preference: before running our assistive tech, we ask you to broadly characterize the sound you are going for and the amount of processing you wish to apply. This way, the assistant can get a sense of your desired aesthetic and how drastic a change you are looking to make to your audio.
- Machine learning: a machine learning algorithm characterizes your audio in some task-specific way (take the instrument classifier in Neutron for example). This information allows us to line up the steps of processing that your track will undergo, and potentially dial-in settings for some of them.
- Intelligent DSP: we further analyze specific properties of your audio to set parameters of different DSP modules in your processing chain. We do all of this taking into consideration your specified user preferences. For example, we may analyze the dynamic range of your audio in certain ways to select parameter values for a compressor. The parameters we come up with should hopefully provide the desired amount of consistency for your track.
Who is assistive audio technology for?
Assistive audio technology can be beneficial for amateurs and professionals alike. Izotope ozone aax crack. For the audio amateur, it breaks the overwhelming barrier to entry in mixing and mastering, quickly getting your tracks sounding great in a few clicks. It is also an invaluable educational resource, from which budding producers can learn how to make informed decisions by analyzing choices made by our assistants on different source materials. For the seasoned veteran, our assistive technology minimizes time-consuming cleanup work so that they can hone in on the creative side of things, adding your signature expertise.
Check out how to use Nectar Elements’ Vocal Assistant in a vocal mixing workflow:
You may have heard of machine learning but not exactly understood what the term means, or how we use it in our everyday lives. Machine learning refers to a class of algorithms that discover patterns in data and use those discovered patterns to make predictions when presented with new data. Some of the most familiar applications of machine learning are speech recognition (Siri, Amazon Alexa), where algorithms transcribe the words we speak, or image recognition where algorithms automatically label items, places, and faces in images (think of how Facebook accurately suggests people to tag in uploaded photos, and how your email can automatically recognize spam).
Izotope Machine Learning Machine
Izotope Machine Learning System
Machine learning is also starting to allow for innovations in the audio industry. At iZotope some of our previous machine learning applications were to automatically identify instruments as part of the Neutron Track Assistant feature, and to automatically detect song structure (i.e., verse/chorus) for improved waveform navigation in the Ozone standalone application.