Tomohiro Nakatani

Neural networks trained with C2D-projected data achieve superior performance in real-world speech enhancement, outperforming state-of-the-art methods by effectively bridging the gap between close and distant microphone recordings.

Real-world audio scene understanding takes a leap forward with a benchmark that tackles the complexities of overlapping sound events and absent targets.