This internship position is being offered through the Computing Internships course COMP4820/8830. You must follow the instructions on the Computing Internships webpage to apply.
Organisation:
Spatial Sound R&D Cost effective platforms for artistic creation and delivery of novel audio experiences on 30 - 3,000 channels.
Project:
Scalable Audio System Automatic Configuration
Towards more advanced spatial sound, we are creating formats and systems with hundreds of sonic elements. At this scale, the requirement to configure and ensuring correct operation of the audio output system is impractical to achieve manually - tedious in nature, prone to user error, and time consuming. Where such a system can easily incorporate a large number of microphones, it is interesting to envisage just how automated and powerful a self aware system can become. We desire a system for managing the generic identification, registration of position, consistency check and potentially online monitoring of the presence and health of all output and input sound elements in forward design spatial sound systems. Given the use of networked audio, the system can initially be a self contained package and application. The operational requirement involves a complex set of sequencing test stimulus, recordings, operation of signal processing blocks, visualization, rule sets for health check, and user interaction. Building on ideas that were used to initiate and lead Dolby ATMOS Flex, and the speaker calibration of DEQX by the supervisor, this project will take the idea of self configuring audio displays several orders of magnitude greater - in both the scale of the underlying system and the potential for the experience and application of such sonic displays. We wish to free audio from the ‘dudes in dark labs’ approach of tedious self important manual configuration, and achieve online scalable and superior sonic performance. Depending on the applicants skill and interest in audio processing and digital signal processing, the project may include some aspects of the audio, however this is not necessary as the company has the core algorithms in place (Matlab and some prototype C).
Required/Preferred Technical Skills:
Cross Platform GUI / Application building tools. C/C++ preferred and required for some API interfacing.
Required/Preferred Professional Skills:
Comfort working with network protocols and real time media APIs (eg ALSA, Jack, Dante). Familiarity with audio and DSP desirable.
Type of Internship:
Hybrid (in-person or remote).
The internship will be paid. The intern/s will be hired as a casual employee.
How to Apply:
Please follow the instructions on the Computing Internships webpage.