Genelec Announces New Aural ID Plug-in

Genelec has now made its Aural ID software technology available in an easy-to-use DAW plug-in format. As well as providing extra features and more flexible purchasing models, the new Aural ID plug-in integrates smoothly into every audio professional’s workflow - delivering a more truthful, reliable and completely personalised headphone listening experience, from stereo to immersive.

Using simple video footage supplied by the user via the free Aural ID Creator mobile app, Genelec will then analyse the way the user’s head, external ear and upper body affect and colour the audio arriving from all directions. This effect is totally unique to every individual and is called the Head-Related Transfer Function (HRTF). Aural ID’s cloud-based calculation engine then models the user’s own head and upper torso features to calculate their personal HRTF, and this information enables precise rendering of audio in any direction within the Aural ID plug-in, which is available in VST, AAX and AU formats for easy integration into any DAW.

Aimed primarily at audio professionals working in music, film, broadcast, game audio design and academic research, Aural ID is unique in its ability to offer a comprehensive and personalised headphone experience unlike those relying on generic HRTFs. Furthermore, Aural ID delivers headphone listening with a natural sense of imaging that is modelled on in-room loudspeaker monitoring, enabling more reliable headphone mixing decisions than ever before. For mobile audio professionals who regularly work remotely in ad-hoc environments, Aural ID is a godsend.

New to the plug-in version of Aural ID is the ability to compensate for the sound colouration that any headphones will introduce. There are two modes for achieving this, the first and most accurate being a corrective EQ individually tailored for a library of specific headphone models within the plug-in, while a second mode offers a more generalised response that supports any professional headphone model.

The Aural ID plug-in also allows users of Genelec Smart Active Monitors to import calibration files directly from Genelec’s GLM loudspeaker manager software. This helps the user to closely replicate the performance of their in-room monitoring system, creating a complete Genelec monitoring ecosystem with a more natural and satisfying connection between personalised in-room and headphone monitoring. This connection is further enhanced by the ability of the plug-in to create and store a virtual model of the user’s in-room monitoring set up, allowing the solo and mute of any virtual monitor in an intuitive way. Users can also perform fine adjustments of the virtual monitor spatial location, level alignment, listener orientation in azimuth and elevation, and total system equalisation.

The Aural ID plug-in is available directly from the Genelec Cloud platform via a cloud-based subscription service, giving continuous access to the latest updates, future Aural ID features and immediate help desk access. Pricing options for both individuals and corporate/educational group licences are available.

You might also like...

Live Sports Production: Part 1 - New Sports Production Workflows

Welcome to Part 1 of ‘Live Sports Production’ - This new multi-part series uses a round table style format to explore the technology of live sports production with some of the industry’s leading system designers. It is a fascinating insight i…

IP Security For Broadcasters: Part 8 - RADIUS Network Access

Maintaining controlled access is critical for any secure network, especially when working with high-value media in broadcast environments.

Microphones: Part 5 - The Variable Directivity Microphone

The variable directivity microphone is very popular for studio work. What goes on inside is very clever and not widely appreciated.

IP Security For Broadcasters: Part 7 - Operating Systems

As well as providing the core functionality of a computer, operating systems have the potential to be a primary issue for security and keeping hackers at bay.

Deep Learning Accelerates Object Tracking In TV Production

Advances in application motion tracking in audiovisual production, both live and recorded, have been slow until recently accelerated by the advent of modern AI techniques associated with neural network based deep learning and mathematical graph theory. These advances have converged…