a5125d091e5c3bf18b83d8f2ef65c8ed5352fb16
[asr1617.git] / proposal.tex
1 %&proposal
2 \begin{document}
3 \maketitle
4
5 My proposed research consists of two questions of which the thesis will answer
6 at least one.
7
8 The first topic is singing voice detection. Singing voice detection has been
9 done on numerous amounts of musical styles ranging from unconventional styles
10 like Beijing opera to conventional pop music. Moreover, the problem has been
11 tackled using myriads of different approaches such as HMMs with different
12 acoustic model types but also machine learned feature sets. I would like to
13 explore how HMM based techniques perform on extreme heavy metal styles to see
14 how well it can detect growling and how classifier might be adapted to perform
15 better.
16
17 Singing voice detection is often used as a preprocessing step for song lyrics
18 forced alignment. If the time permits I would like to explore forced alignment
19 using existing phone models on extreme heavy metal styles. Features probably
20 need to be changed to improve performance since growling is very different from
21 regular singing and speaking.
22
23 The data for this will be coming from my personal collection audio CDs.
24
25 \end{document}