2 citations · 5 across the 9 of their papers we have counts for
3 papers · 2 filters
Sound Event Detection Guided by Semantic Contexts of Scenes
Noriyuki Tonami, Keisuke Imoto, Ryotaro Nagase +3
Some studies have revealed that contexts of scenes (e.g., "home," "office," and "cooking") are advantageous for sound event detection (SED). Mobile devices and sensing technologies…
Sound Event Detection Based on Curriculum Learning Considering Learning Difficulty of Events
Noriyuki Tonami, Keisuke Imoto, Yuki Okamoto +2
In conventional sound event detection (SED) models, two types of events, namely, those that are present and those that do not occur in an acoustic scene, are regarded as the same t…
Onoma-to-wave: Environmental sound synthesis from onomatopoeic words
Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi +3
In this paper, we propose a framework for environmental sound synthesis from onomatopoeic words. As one way of expressing an environmental sound, we can use an onomatopoeic word, w…