14 citations · 28 across the 11 of their papers we have counts for
11 papers · 1 filter
RISC: A Corpus for Shout Type Classification and Shout Intensity Prediction
Takahiro Fukumori, Taito Ishida, Yoichi Yamashita
The detection of shouted speech is crucial in audio surveillance and monitoring. Although it is desirable for a security system to be able to identify emergencies, existing corpora…
Environmental sound synthesis from vocal imitations and sound event labels
Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi +3
One way of expressing an environmental sound is using vocal imitations, which involve the process of replicating or mimicking the rhythm and pitch of sounds by voice. We can effect…
How Should We Evaluate Synthesized Environmental Sounds
Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi +2
Although several methods of environmental sound synthesis have been proposed, there has been no discussion on how synthesized environmental sounds should be evaluated. Only either…
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…
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…
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…
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…
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…
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…
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…