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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.
Shrinking massive audio foundation models by up to 61x is now possible without significant performance loss, thanks to a novel self-supervised distillation approach that works directly on embeddings.
