brush up introduction

diff --git a/Makefile b/Makefile
index f40e93c..15d03f8 100644 (file)
--- a/Makefile
+++ b/Makefile
@@ -16,7 +16,7 @@ all: $(addsuffix .pdf,$(DOCS))
        $(LATEX) $(LATEXFLAGS) -ini -jobname="$(basename $@)" "&$(LATEX) $<\dump"
 
 %.pdf: %.mlog
-       if $(GREP) -iFq 'Rerun to get' $<; then $(LATEX) $(LATEXFLAGS) $(basename $<); fi
+       if $(GREP) -iFq 'Rerun' $<; then $(LATEX) $(LATEXFLAGS) $(basename $<); fi
 
 %.mlog: %.tex %.fmt $(wildcard *.bib) $(wildcard *.tex)
        $(LATEX) $(LATEXFLAGS) $<

diff --git a/asr.bib b/asr.bib
index 594ead2..d505823 100644 (file)
--- a/asr.bib
+++ b/asr.bib
@@ -232,4 +232,37 @@
        author = {Scheirer, Eric and Slaney, Malcolm},
        year = {1997},
        pages = {1331--1334}
+}
+
+@inproceedings{kato_acoustic_2013,
+       title = {Acoustic {Features} and {Auditory} {Impressions} of {Death} {Growl} and {Screaming} {Voice}},
+       isbn = {978-0-7695-5120-3},
+       url = {http://ieeexplore.ieee.org/document/6846676/},
+       doi = {10.1109/IIH-MSP.2013.120},
+       urldate = {2017-04-11},
+       publisher = {IEEE},
+       author = {Kato, Keizo and Ito, Akinori},
+       month = oct,
+       year = {2013},
+       pages = {460--463},
+       file = {Acoustic Features and Auditory Impressions of Death Growl and Screaming Voice - 06846676.pdf:/home/mrl/.mozilla/firefox/7b4r727h.default-1470981082057/zotero/storage/VAT5AGPP/06846676.pdf:application/pdf}
+}
+
+@inproceedings{sakakibara_growl_2004,
+       title = {Growl voice in ethnic and pop styles},
+       url = {http://www.overtone.cc/profiles/blogs/884327:BlogPost:7416},
+       urldate = {2017-04-11},
+       booktitle = {Proc. {Int}. {Symp}. on {Musical} {Acoustics}},
+       author = {Sakakibara, K. and Fuks, Leonardo and Imagawa, Hiroshi and Tayama, Niro and Naganuma, D.},
+       year = {2004},
+       file = {isma04.pdf:/home/mrl/.mozilla/firefox/7b4r727h.default-1470981082057/zotero/storage/PUFH652B/isma04.pdf:application/pdf}
+}
+
+@misc{friis_vikings_2004,
+       title = {Vikings and their {Music}},
+       url = {http://www.viking.no/e/life/music/e-musikk-mogens.html},
+       urldate = {2017-04-11},
+       author = {Friis, Mogens},
+       year = {2004},
+       file = {Vikings and their Music:/home/mrl/.mozilla/firefox/7b4r727h.default-1470981082057/zotero/storage/SEEXI3VR/e-musikk-mogens.html:text/html}
 }
\ No newline at end of file

diff --git a/asr.pre b/asr.pre
index fbb3c42..6ec46d4 100644 (file)
--- a/asr.pre
+++ b/asr.pre
@@ -8,6 +8,7 @@
 \usepackage{booktabs}                % Better looking tables
 \usepackage{todonotes}               % Todo's
 \usepackage{float}                   % Floating tables
+\usepackage{csquotes}                % Typeset quotes
 
 \graphicspath{{img/}}
 

diff --git a/asr.tex b/asr.tex
index 4899bd1..1316967 100644 (file)
--- a/asr.tex
+++ b/asr.tex
@@ -64,6 +64,21 @@ along. Because of this interest it is very useful to device automatic
 techniques for segmenting instrumental and vocal parts of a song and
 apply forced alignment or even lyrics recognition on the audio file.
 
+Such techniques are heavily researched and working systems have been created.
+However, these techniques are designed to detect a clean singing voice. Extreme
+genres such as \gls{dm} are using more extreme vocal techniques such as
+grunting or growling. It must be noted that grunting is not a technique only
+used in extreme metal styles. Similar or equal techniques have been used in
+\emph{Beijing opera}, Japanese \emph{Noh} and but also more western styles like
+jazz singing by Louis Armstrong~\cite{sakakibara_growl_2004}. It might even be
+traced back to viking times. An arab merchant wrote in the tenth
+century~\cite{friis_vikings_2004}:
+
+\begin{displayquote}
+       Never before I have heard uglier songs than those of the Vikings in
+       Slesvig. The growling sound coming from their throats reminds me of dogs
+       howling, only more untamed.
+\end{displayquote}
 
 %A majority of the music is not only instrumental but also contains vocal
 %segments.
@@ -103,11 +118,19 @@ separate singing from instrumental music\cite{berenzweig_locating_2001}.
 ~\cite{pedone_phoneme-level_2011}
 ~\cite{yang_machine_2012}
 
+
+
 \section{Research question}
-This leads to the following research question:
+It is discutable whether the aforementioned techniques work because the
+spectral properties of a growling voice is different from the spectral
+properties of a clean singing voice. It has been found that growling voices
+have less prominent peaks in the frequency representation and are closer to
+noise then clean singing\cite{kato_acoustic_2013}. This leads us to the
+research question:
+
 \begin{center}\em%
        Are standard \gls{ANN} based techniques for singing voice detection
-       suitable for non-standard musical genres like Death metal.
+       suitable for non-standard musical genres like \gls{dm}.
 \end{center}
 
 \chapter{Methods}
@@ -115,8 +138,8 @@ This leads to the following research question:
 
 %Experiment(s) (set-up, data, results, discussion)
 \section{Data \& Preprocessing}
-To run the experiments we have collected data from several \gls{dm} albums. The
-exact data used is available in Appendix~\ref{app:data}. The albums are
+To run the experiments data has been collected from several \gls{dm} albums.
+The exact data used is available in Appendix~\ref{app:data}. The albums are
 extracted from the audio CD and converted to a mono channel waveform with the
 correct samplerate \emph{SoX}~\footnote{\url{http://sox.sourceforge.net/}}.
 When the waveforms are finished they are converted to \glspl{MFCC} vectors
@@ -124,8 +147,8 @@ using the \emph{python\_speech\_features}%
 ~\footnote{\url{https://github.com/jameslyons/python_speech_features}} package.
 All these steps combined results in thirteen tab separated features per line in
 a file for every source file. Every file is annotated using
-Praat~\cite{boersma_praat_2002} where the utterances are manually
-aligned to the audio. An example of an utterances are shown in
+Praat~\cite{boersma_praat_2002} where the utterances are manually aligned to
+the audio. An example of an utterances are shown in
 Figures~\ref{fig:bloodstained,fig:abominations}. It is clearly visible that
 within the genre of death metal there are a lot of different spectral patterns
 visible.