activity
20192021
most citedJoint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning

14 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2021★ 2 cited

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…

cs.SD2020★ 14 cited

Joint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning

Noriyuki Tonami, Keisuke Imoto, Ryosuke Yamanishi +1

Sound event detection (SED) and acoustic scene classification (ASC) are important research topics in environmental sound analysis. Many research groups have addressed SED and ASC u…

cs.SD2020★ 2 cited

RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis

Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi +3

Environmental sound synthesis is a technique for generating a natural environmental sound. Conventional work on environmental sound synthesis using sound event labels cannot finely…

cs.SD2020★ 1 cited

Sound Event Detection Using Duration Robust Loss Function

Daichi Akiyama, Keisuke Imoto, Noriyuki Tonami +4

Many methods of sound event detection (SED) based on machine learning regard a segmented time frame as one data sample to model training. However, the sound durations of sound even…

cs.SD2020★ 2 cited

Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels

Keisuke Imoto, Noriyuki Tonami, Yuma Koizumi +3

Sound event detection (SED) and acoustic scene classification (ASC) are major tasks in environmental sound analysis. Considering that sound events and scenes are closely related to…

cs.SD2019★ 6 cited

Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion

Yuki Okamoto, Keisuke Imoto, Tatsuya Komatsu +4

Synthesizing and converting environmental sounds have the potential for many applications such as supporting movie and game production, data augmentation for sound event detection…

cs.SD2019★ 1 cited

Joint Analysis of Acoustic Events and Scenes Based on Multitask Learning

Noriyuki Tonami, Keisuke Imoto, Masahiro Niitsuma +2

Acoustic event detection and scene classification are major research tasks in environmental sound analysis, and many methods based on neural networks have been proposed. Convention…