AIBullisharXiv – CS AI · Mar 27/1010
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TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
Researchers have developed TIGER, a new speech separation model that reduces parameters by 94.3% and computational costs by 95.3% while outperforming current state-of-the-art models. The team also introduced EchoSet, a new dataset with realistic acoustic environments that shows better generalization for speech separation models.