Akira Nakayama — accepted AI-conference papers

2024

6DoF SELD: Sound Event Localization and Detection Using Microphones and Motion Tracking Sensors on Self-Motioning Human

Masahiro Yasuda, Shoichiro Saito, Akira Nakayama, Noboru Harada

ICASSP 2024accepted

We aim to perform sound event localization and detection (SELD) using wearable equipment for a moving human, such as a pedestrian. Conventional SELD tasks have dealt only with microphone arrays located in static positions. However, self-motion with three rotational and three translational degrees of…

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2024

Online Target Sound Extraction with Knowledge Distillation from Partially Non-Causal Teacher

Keigo Wakayama, Tsubasa Ochiai, Marc Delcroix, Masahiro Yasuda, Shoichiro Saito, Shoko Araki +1

ICASSP 2024accepted

Target Sound Extraction (TSE) is a technique for extracting sound events belonging to a target sound class in a mixture using a Deep Neural Network (DNN). Offline TSE that uses non-causal models has achieved high extraction performance. However, many applications require online processing. Simply co…

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