论文标题
重金属音乐中的尖叫检测
Scream Detection in Heavy Metal Music
论文作者
论文摘要
尖叫或咆哮等严酷的声音效果在重金属人声中比传统的演唱声音更为普遍。本文探讨了重金属音乐中极端声音技术的检测和分类的问题，特别是对不同尖叫技术的识别。我们研究了各种特征表示的适用性，包括sepstral，频谱和时间特征作为分类的输入表示。这项工作的主要贡献是（i）手动注释的数据集，包括超过280分钟的各种流派的重金属歌曲，对重金属音乐中不同极端人声技术的发生进行统计分析，以及（ii）对重金属声音分类的不同输入特征表现形式的系统研究
Harsh vocal effects such as screams or growls are far more common in heavy metal vocals than the traditionally sung vocal. This paper explores the problem of detection and classification of extreme vocal techniques in heavy metal music, specifically the identification of different scream techniques. We investigate the suitability of various feature representations, including cepstral, spectral, and temporal features as input representations for classification. The main contributions of this work are (i) a manually annotated dataset comprised of over 280 minutes of heavy metal songs of various genres with a statistical analysis of occurrences of different extreme vocal techniques in heavy metal music, and (ii) a systematic study of different input feature representations for the classification of heavy metal vocals
