著者
宮入 徹 服部 遊 村越 弘章 小澤 佳佑 田中 謙介 千葉 慎一郎
出版者
日本感性工学会
雑誌
日本感性工学会論文誌 (ISSN:18845258)
巻号頁・発行日
pp.TJSKE-D-20-00060, (Released:2021-04-22)
参考文献数
20

In many ball games, research on the sound quality of the sound generated when hitting a ball is underway. This is because the comfort of the impact sound exists as an important factor for athletes. In this study, we investigated the elements necessary for the comfortable impact sound, targeting the impact sound of badminton. In the experiment, the impression of the impact sound reproduced from the headphones was evaluated by the SD method. As a result, it was found that the impression of impact sound can be expressed by Beautiful & Metallic, Powerful and Spatial Factor. In addition, it was suggested that the Beautiful & Metallic Factor might be associated with the elastic performance in badminton competition, and the Powerful Factor might be associated with the flying performance. Furthermore, we examined acoustical characteristics that correlate well with each factor, and constructed the sound quality estimating model for the impact sounds.
著者
服部 遊 高橋 恵子 石川 稜威男
出版者
一般社団法人電子情報通信学会
雑誌
電子情報通信学会技術研究報告. EA, 応用音響 (ISSN:09135685)
巻号頁・発行日
vol.105, no.202, pp.19-24, 2005-07-16
被引用文献数
1

電気的再生音の微小レベルの物理特性と人の感覚的評価との関係を調べる目的で非線形な音質調整法を開発した。その処理では、音源の周波数帯域を分割し、選択した帯域の瞬時値を冪乗処理して振幅を圧縮または伸長し、非線形処理に伴う奇数次の高調波成分を除去して合成して出力する。圧縮すると微小レベルの信号ほど増幅率が高くなり、伸長すると逆に減衰率が高くなる。人の聴覚特性を考慮して可聴周波数帯域を分割し、その内の一つの帯域の信号だけを圧縮・伸長処理した音楽データを用いて"やわらかい""かたい"といった評価語との関係を調べた。評価には一対比較法を用い、5kHz付近を伸長すると評価語"やわらかい"との関係が有為であること、本調整法が有効であることを確認した。
著者
鈴木 裕 深澤 瑞也 森 鷹浩 阪田 治 服部 遊 加藤 隆也
出版者
一般社団法人 電気学会
雑誌
電気学会論文誌C(電子・情報・システム部門誌) (ISSN:03854221)
巻号頁・発行日
vol.130, no.3, pp.401-406, 2010-03-01 (Released:2010-03-01)
参考文献数
20
被引用文献数
4 4

It is desired to detect stenosis at an early stage to use hemodailysis shunt for longer time. Stethoscope auscultation of vascular murmurs is useful noninvasive diagnostic approach, but an experienced expert operator is necessary. Some experts often say that the high-pitch murmurs exist if the shunt becomes stenosed, and some studies report that there are some features detected at high frequency by time-frequency analysis. However, some of the murmurs are difficult to detect, and the final judgment is difficult. This study proposes a new diagnosis support system to screen stenosis by using vascular murmurs. The system is performed using artificial neural networks (ANN) with the analyzed frequency data by maximum entropy method (MEM). The author recorded vascular murmurs both before percutaneous transluminal angioplasty (PTA) and after. Examining the MEM spectral characteristics of the high-pitch stenosis murmurs, three features could be classified, which covered 85 percent of stenosis vascular murmurs. The features were learnt by the ANN, and judged. As a result, a percentage of judging the classified stenosis murmurs was 100%, and that of normal was 86%.