abstract.tex

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