%&proposal
\begin{document}
\maketitle

My proposed research consists of two questions of which the thesis will answer
at least one.

The first topic is singing voice detection. Singing voice detection has been
done on numerous amounts of musical styles ranging from unconventional styles
like Beijing opera to conventional pop music. Moreover, the problem has been
tackled using myriads of different approaches such as HMMs with different
acoustic model types but also machine learned feature sets. I would like to
explore how HMM based techniques perform on extreme heavy metal styles to see
how well it can detect growling and how classifier might be adapted to perform
better.

Singing voice detection is often used as a preprocessing step for song lyrics
forced alignment. If the time permits I would like to explore forced alignment
using existing phone models on extreme heavy metal styles. Features probably
need to be changed to improve performance since growling is very different from
regular singing and speaking.

The data for this will be coming from my personal collection audio CDs.

\end{document}
