6 citations · 12 across the 17 of their papers we have counts for
4 papers · 1 filter
Environmental Sound Extraction Using Onomatopoeic Words
Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto +2
An onomatopoeic word, which is a character sequence that phonetically imitates a sound, is effective in expressing characteristics of sound such as duration, pitch, and timbre. We…
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…