aTENNuate based masked channel signal reconstruction in simulated environments
Developed an SSM architecture to predict masked channel audio signal at a desired location in a simulated room given source and microphone configuration. This model learns the spatial audio representation via self-supervised learning technique
Feb 2, 2025
🎧 aTENNuate submitted to Interspeech 2025
Our work on audio denoising using SSMs at BrainChip was recently submitted to Interspeech 2025.
Jan 25, 2025