@techreport{oai:ipsj.ixsq.nii.ac.jp:00232542,
 author = {太田, 晴紀 and 高橋, 弘太 and Haruki, Ota and Kota, Takahashi},
 issue = {72},
 month = {Feb},
 note = {我々は，異なる場所や時間で収録された歌唱音源を混合して合唱音源を作り出す技術に取り組んでおり，この技術をリモート合唱と呼んでいる．リモート合唱には，舞台上で行われる合唱に比べて一体感に欠けるという課題がある．本研究では，独自のスパース表現を用いて信号を分解し，成分選択アルゴリズムを用いて成分を取捨選択する手法を提案する．これにより，全員の歌唱音源を最終的な合唱作品に貢献させつつ，調波構造が明瞭になる効果を狙った．取捨選択の手法として，対単純加算パワー比較法，ピーク近傍採択法を候補として挙げ，情報量，エントロピー，狭帯域ノルム変動の 3 つの指標で評価することで，本手法の有効性を示した．, We are working on a technique to create choral sound sources by mixing singing sound sources recorded at different places and times, and call this technique remote chorus. Compared to chorus performed on stage, remote chorus has the problem of lacking a sense of unity. In this study, we propose a method of decomposing the signal using a unique sparse representation and selecting components using component selection algorithms. The aim of this method is to make the harmonic structure clearer while allowing all singing sources to contribute to the final work of the chorus. The simple additive power comparison method and the peak-neighborhood adoption method were proposed as candidates for the component selection algorithm. The effectiveness of these methods was demonstrated by evaluating them in terms of three indices: amount of information, entropy, and narrow-band norm fluctuation.},
 title = {スパース表現を用いた成分選択によるリモート合唱音源の混合},
 year = {2024}
}