This thesis presents a method of detecting \emph{singing}-voice segments in non
standard music genres. Growling singing voices have different acoustic
characteristics compared to regular singing voices. This research uses existing
\emph{singing}-voice detection techniques on extreme styles like \gls{dm} and
\gls{dom} and achieves a good performance. \emph{Singer}-voice recognition and
detection has also been attempted with similar positive results. This forms a
strong base for attempting lyrics synchronization and lyrics recognition in
extreme music styles.
