Recent advancements in deep learning (DL) have posed a significant challenge for
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …

Monaural speech enhancement aims to remove background noise from noisy speech
signals captured by a single microphone. In recent years, several cross-domain monaural …

Collaborative processing of infrared and visible (IR–VS) images is essential in identifying
potential equipment failures during power inspections. However, due to significant …

Mobile speech communication can experience significant degradation in quality when users
are in a noisy acoustic environment. With the rapid development of artificial intelligence in …

Recently, many Transformer-style dual-path models have achieved impressive performance
for speech enhancement. However, their high parameters and computational complexity …

With the rapid development of neural networks in recent years, the ability of various
networks to enhance the magnitude spectrum of noisy speech in the single-channel speech …

With the rapid advancement of deep neural networks, there has been a significant
improvement in the performance of music source separation methods. However, most of …

In this report, we present our method for Detection and Classification of Acoustic Scenes and
Events (DCASE) 2023 challenge task3: Sound Event Localization and Detection Evaluated …