An Exploration of Machine Learning and the use cases where it might provide the most benefit for Audio Synthesis
Explores potential synthesis use cases that could benefit from current approaches in Deep Learning, and theorizes how those might be tackled with specific neural network architectures and data requirements
Benchmarking methodology for a multi-voice assistant enabled future
Defines and benchmarks from an OEM and consumer perspective the ideal voice assistant experience
Problems and Solutions for Audio in Augmented Reality Headsets
Addresses the problem of current Augmented Reality audio solutions not considering listening and source contexts
A World Without 3.5mm: Transport Features, Guidelines, and Opportunities
Presents a transport-agnostic audio feature set, development guidelines ensuring baseline audio fidelity, and opportunities for differentiation for developers to provide added value
Pork Rinds: Challenges with the present hearable model
Discusses the emerging hearable market, and outlines new problems, opportunities and potential next steps that we can take, as an audio industry, to ensure that consumers’ hearing and well-being are managed appropriately
Taking the "virtual" out of virtual audio
Discusses requirements and obstacles in real-sounding AR/MR audio, given that the sound is interactive and aspects have to be procedurally generated, and presents recommendations
Impact of non-traditional sound: mic used for ultrasonic, etc. Everything is broken!
Identifies problems in every stage of the existing architecture that are inhibiting innovation and adoption of enhanced usage of existing transducer and interface capabilities
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