Kanami Imamura

DISSECTING PERFORMANCE DEGRADATION IN AUDIO SOURCE SEPARATION UNDER SAMPLING FREQUENCY MISMATCH

Audio processing methods based on deep neural networks are typically trained at a single sampling frequency (SF). To handle untrained SFs, signal resampling is commonly employed, but it can degrade performance, particularly when the input SF is lower than the trained SF. This paper investigates the…