4 papers
FlowW2N: Whispered-to-Normal Speech Conversion via Flow-Matching
Fabian Ritter-Gutierrez, Md Asif Jalal, Pablo Peso Parada +5
Whispered-to-normal (W2N) speech conversion aims to reconstruct missing phonation from whispered input while preserving content and speaker identity. This task is challenging due t…
CST-former: Multidimensional Attention-based Transformer for Sound Event Localization and Detection in Real Scenes
Yusun Shul, Dayun Choi, Jung-Woo Choi
Sound event localization and detection (SELD) is a task for the classification of sound events and the identification of direction of arrival (DoA) utilizing multichannel acoustic…
CST-former: Transformer with Channel-Spectro-Temporal Attention for Sound Event Localization and Detection
Yusun Shul, Jung-Woo Choi
Sound event localization and detection (SELD) is a task for the classification of sound events and the localization of direction of arrival (DoA) utilizing multichannel acoustic si…
Divided spectro-temporal attention for sound event localization and detection in real scenes for DCASE2023 challenge
Yusun Shul, Byeong-Yun Ko, Jung-Woo Choi
Localizing sounds and detecting events in different room environments is a difficult task, mainly due to the wide range of reflections and reverberations. When training neural netw…