Cavern is a fully adaptive object-based audio rendering engine and (up)mixer without limitations for home, cinema, and stage use. Audio transcoding and self-calibration libraries built on the Cavern engine are also available. This repository also features a Unity plugin and a standalone converter called Cavernize.

Cavern goes beyond fixed-channel audio systems by rendering any number of audio “objects” in three-dimensional space, tailored to the listener’s speaker arrangement or headphone output. It is also supported by a standalone conversion tool, Cavernize, which allows users to convert spatial mixes into conventional channel-based PCM formats while maintaining positional accuracy.

Key Features and Capabilities:

Object-Based Rendering
Cavern supports an unrestricted number of audio objects and output channels. This allows precise spatial placement and movement of sounds in 3D space, independent of specific channel layouts.

Codec and Container Support
The engine and its companion tools support a wide range of codecs and containers, including those commonly used for immersive audio delivery. Traditional formats such as WAV and common multimedia containers are also supported.

Calibration and Room Correction
Cavern includes tools for self-calibration and room equalization. These can flatten frequency response, compensate for acoustic irregularities, and help unify tonal characteristics across speakers.

Headphone Virtualization
Through HRTF-based processing, Cavern enables spatial rendering over stereo headphones. This simulates direction, distance, and spatial cues to reproduce the effect of multichannel speaker setups in a binaural listening environment.

Real-Time Up-Mixing
Legacy stereo or multichannel content can be up-mixed into fully rendered 3D scenes. This provides an immersive experience even when the source was not originally produced as object-based audio.

Integration with Game Engines
Cavern offers integration with Unity, enabling developers to incorporate real-time positional audio into games, simulations, and interactive media.

Use Cases

Home Cinema and Media Playback
Cavern can render object-based audio tracks for users who do not have commercial hardware processors. It allows accurate spatial playback through both speakers and headphones.

Headphone-Focused Listening
The binaural virtualization system benefits users who rely on headphones for movies, music, gaming, or general media consumption.

Game and VR Development
Developers can use Cavern inside Unity to produce dynamic, spatially accurate audio scenes in interactive applications.

Archiving and Conversion
Cavernize converts object-based audio into standard PCM or channel-based formats, preserving positional intent while enabling playback on conventional systems.

Speaker Optimization
Its calibration tools provide a software-based approach to room correction and multi-speaker alignment without requiring dedicated hardware processors.

Limitations and Considerations

• Some supporting utilities are not fully open-source and may be distributed under separate licensing terms.
• Spatial rendering benefits depend on input quality; poor-quality stereo sources will not yield true immersive results.
• Speaker hardware, room acoustics, and HRTF compatibility affect the perceived accuracy of spatialization.
• Integrating Cavern into custom software projects requires familiarity with its API and spatial-audio concepts.

Why Cavern Matters

Cavern stands out by making advanced spatial-audio technology accessible without requiring specialized hardware or proprietary processors. By combining open-source rendering, a flexible object-based architecture, codec support, calibration tools, and developer integration, it provides a versatile platform for enthusiasts, researchers, and media creators.

For users interested in experimenting with immersive audio workflows, whether for home cinema, headphone listening, archiving, or game development, Cavern offers a free, comprehensive and adaptable approach.

References:

• VoidXH / Cavern – GitHub repository
• Cavern documentation website
• Cavern package listing on NuGet

cavern.sbence.hu/cavern
github.com/VoidXH/Cavern
github.com/VoidXH/HRTF
cavern.sbence.hu/cavern/doc
cavern.sbence.hu/cavern/downloads
www.nuget.org/packages/Cavern
en.wikipedia.org/wiki/Digital_room_correction#Cavern_QuickEQ