Added ResNet results to report

anphetamina · Feb 12, 2020 · 7e92243 · 7e92243
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diff --git a/report/egpaper_final.bbl b/report/egpaper_final.bbl
@@ -1,37 +1,37 @@
-\begin{thebibliography}{1}\itemsep=-1pt
-
-\bibitem{Amiriparian}
-Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Michael
-  Freitag, Sergey Pugachevskiy, Alice Baird, and Bjorn Schuller.
-\newblock Snore sound classification using image-based deep spectrum features.
-\newblock 2017.
-
-\bibitem{Eguino}
-Miguel Flores~Ruiz de Eguino.
-\newblock Deep music genre.
-
-\bibitem{Kozakowski}
-Piotr Kozakowski and Bartosz Michalak.
-\newblock Music genre recognition.
-\newblock 2016.
-\newblock \url{http://deepsound.io/music_genre_recognition.html}.
-
-\bibitem{Liu}
-Xin Liu, Qingcai Chen, Xiangping Wu, Yan Liu, and Yang Liu.
-\newblock Cnn based music emotion classification.
-\newblock 2017.
-
-\bibitem{Ravdess}
-Livingstone SR and Russo FA.
-\newblock The ryerson audio-visual database of emotional speech and song
-  (ravdess): A dynamic, multimodal set of facial and vocal expressions in north
-  american english. plos one 13(5): e0196391, 2018.
-\newblock \url{https://doi.org/10.1371/journal.pone.0196391}.
-
-\bibitem{CAL500}
-Turnbull, Douglas, Barrington, Luke, Torres, David, Lanckriet, and Gert.
-\newblock Semantic annotation and retrieval of music and sound effects.
-\newblock {\em Audio, Speech and Language Processing, IEEE Transactions on},
-  16(2):467--476, 2008.
-
-\end{thebibliography}
+\begin{thebibliography}{1}\itemsep=-1pt
+
+\bibitem{Amiriparian}
+Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Michael
+  Freitag, Sergey Pugachevskiy, Alice Baird, and Bjorn Schuller.
+\newblock Snore sound classification using image-based deep spectrum features.
+\newblock 2017.
+
+\bibitem{Eguino}
+Miguel Flores~Ruiz de Eguino.
+\newblock Deep music genre.
+
+\bibitem{Kozakowski}
+Piotr Kozakowski and Bartosz Michalak.
+\newblock Music genre recognition.
+\newblock 2016.
+\newblock \url{http://deepsound.io/music_genre_recognition.html}.
+
+\bibitem{Liu}
+Xin Liu, Qingcai Chen, Xiangping Wu, Yan Liu, and Yang Liu.
+\newblock Cnn based music emotion classification.
+\newblock 2017.
+
+\bibitem{Ravdess}
+Livingstone SR and Russo FA.
+\newblock The ryerson audio-visual database of emotional speech and song
+  (ravdess): A dynamic, multimodal set of facial and vocal expressions in north
+  american english. plos one 13(5): e0196391, 2018.
+\newblock \url{https://doi.org/10.1371/journal.pone.0196391}.
+
+\bibitem{CAL500}
+Turnbull, Douglas, Barrington, Luke, Torres, David, Lanckriet, and Gert.
+\newblock Semantic annotation and retrieval of music and sound effects.
+\newblock {\em Audio, Speech and Language Processing, IEEE Transactions on},
+  16(2):467--476, 2008.
+
+\end{thebibliography}
diff --git a/report/egpaper_final.blg b/report/egpaper_final.blg
@@ -1,9 +1,9 @@
-This is BibTeX, Version 0.99dThe top-level auxiliary file: egpaper_final.aux
-The style file: ieee_fullname.bst
-Database file #1: egbib.bib
-Warning--empty journal in Amiriparian
-Warning--empty journal in Eguino
-Warning--empty year in Eguino
-Warning--empty journal in Kozakowski
-Warning--empty journal in Liu
-(There were 5 warnings)
+This is BibTeX, Version 0.99dThe top-level auxiliary file: egpaper_final.aux
+The style file: ieee_fullname.bst
+Database file #1: egbib.bib
+Warning--empty journal in Amiriparian
+Warning--empty journal in Eguino
+Warning--empty year in Eguino
+Warning--empty journal in Kozakowski
+Warning--empty journal in Liu
+(There were 5 warnings)
diff --git a/report/egpaper_final.fdb_latexmk b/report/egpaper_final.fdb_latexmk
diff --git a/report/egpaper_final.fls b/report/egpaper_final.fls
diff --git a/report/egpaper_final.pdf b/report/egpaper_final.pdf
diff --git a/report/egpaper_final.synctex.gz b/report/egpaper_final.synctex.gz
diff --git a/report/egpaper_final.tex b/report/egpaper_final.tex
@@ -156,9 +156,9 @@ \section{Training phase}\label{training}
    \begin{tabular}{l|c|c|c}
       \textbf{Network} & \textbf{50/50} & \textbf{80/20} & \textbf{90/10} \\
    \hline
-   \textit{ResNet152} & \% & 56\% & 76\% \\
+   \textit{ResNet152} & 65\% & 63\% & 76\% \\
    \hline
-   \textit{ResNet50} & \% & 62\% & \% \\
+   \textit{ResNet50} & 66\% & 66\% & 66\% \\
    \hline
    \textit{VGG19} & 72\% & 67\% & 80\% \\
    \hline
@@ -188,9 +188,9 @@ \section{Testing}\label{testing}
       \begin{tabular}{l|c|c|c}
          \textbf{Network} & \textbf{50/50} & \textbf{80/20} & \textbf{90/10} \\
       \hline
-      \textit{ResNet152} & \% & \% & 35\% \\
+      \textit{ResNet152} & 15\% & 15\% & 35\% \\
       \hline
-      \textit{ResNet50} & \% & \% & \% \\
+      \textit{ResNet50} & 19\% & 16\% & 16\% \\
       \hline
       \textit{VGG19} & 17\% & 16\% & 15\% \\
       \hline