3 accepted papers
Wireless acoustic sensor network (WASN) has become a useful platform for monitoring acoustic scenes and sound acquisition. It is likely that many acoustic devices have a marginal impact on performance, which facilitates a necessity of optimizing the tradeoff between performance and computational loa…
Speech enhancement (SE) aims to extract the clean waveform from noise-contaminated measurements to improve the speech quality and intelligibility. Although learning-based methods can perform much better than traditional counterparts, the large computational complexity and model size heavily limit th…
Sound event localization and detection (SELD) aims at identifying the temporal activities of a known set of sound event classes and estimating their locations. It remains challenging especially when there are overlapped acoustic events. In this work, a robust network architecture with data augmentat…