For those who don’t know, Dolby Atmos is a multichannel surround sound technology that includes height channels alongside the regular front-back/left-right channels. It also solves the problems associated with trying to produce a surround sound mix that will remain convincing (or as convincing as possible) irrespective of the surround configuration and speaker layout used for playback. Nuendo has been able to work with external Dolby Atmos renderers – hardware and software – for a while, and still can, but the new built-in renderer brings the entire Dolby Atmos production pipeline under one roof, along with attendant workflow improvements.įor example, tracks in your project can be added to the Atmos configuration with just a click or two and will bring with them any panning automation that you have set up on the source track. Also, creating a finished multichannel ADM wave file involves just a click-or-two. If there’s any downside it’s that the internal Dolby Atmos renderer doesn’t support all main mix output configurations (2.0, 5.1, 5.1.4, 7.1 and 7.1.4 are supported). Neundo 11 Atmos Renderer (Image credit: Steinberg) What did you say? This is fine when setting up for a new project, but can be tricky if you wish to convert an existing project created using an unsupported configuration.
The new Supervision plugin provides you with a comprehensive metering solution that can show you up to nine visualisations within a single, resizable, plugin instance. The different visualisations are provided for you as modules, and cover level and loudness metering, spectral readouts, phase meters, surround meters and waveform displays. Three of the modules are exclusive to Nuendo 11, the first of which is a simple Leq(m) readout, which displays a cumulative average volume level for the buss that it will be measuring. These brilliantly-designed presets combine Nuendo’s built-in plugins to create realistic emulations of loudspeakers, room and environment ambiences There are 150 new effect plugin presets for use in post-production projects.
This uses AI-based speech recognition technology, developed by Fraunhofer IDMT, to calculate, in real-time, the effort a listener needs to expend in order to understand the dialogue within a mix.
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