  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
