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Quantization errors in speech enhancement models can be largely mitigated by robust spatial filtering, enabling efficient deployment on low-resource devices.
Achieving ultra-low latency of 8 ms, RT-Tango redefines binaural speech enhancement for hearing aids without sacrificing performance.
Resource-strapped robots can now achieve near state-of-the-art panoptic segmentation without sacrificing accuracy, thanks to a novel lightweight architecture that slashes computational costs.