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Changjun He

2 accepted papers

2025

Dual Position Attention Time-Frequency Network for Binaural Audio Synthesis

ICASSP 2025accepted

In applications such as virtual reality and augmented reality, binaural audio provides listeners with a more immersive experience. To synthesize binaural audio with enhanced spatial localization, especially in scenarios involving moving sound sources, accurate phase estimation is crucial. However, e…

Cited by 0SourceScholar
2025

Hybrid Feature Global Attention Network for Noisy-reverberant Speech Enhancement

ICASSP 2025accepted

Deep neural network-based speech enhancement methods have become widespread, with one of its fundamental aspects being the effective extraction and application of features in the time-frequency domain. This paper proposes a hybrid feature global attention network (HFGANet) designed to efficiently ex…

Cited by 0SourceScholar