\item IRCAM : Projet Wave, \emph{Web Audio Visualisation/Edition} : \url{http://wave.ircam.fr/}
\item Londres : Queen Mary University, BBC R\&D
\item Barcelone : UPF : Projet CompMusic, \emph{Computational models for the discovery of the World’s Music}
- \item Bioacoustique : Univ. Toulon Sud (Hervé Glotin), MNHM (Jérôme Sueur), LAM (Olivier Adam) : Projet SABIOD
+ \item Bioacoustique : Univ. Toulon Sud (Hervé Glotin), MNHM (Jérôme Sueur), LAM (Olivier Adam) : Projet SABIOD, \url{http://sabiod.telemeta.org/}
\end{itemize}
\end{block}
\end{frame}
\end{block}
\end{frame}
-\begin{frame}[fragile]
- \begin{block}{Exemple de code (Python)}
- \vskip1ex
- \begin{minipage}{0.6\linewidth}
- \begin{lstlisting}
-import timeside
-
-# Define some processors:
-
-# Decoder
-decoder = timeside.decoder.FileDecoder('sweep.wav')
-
-# Analyzers
-analyzer = timeside.analyzer.Level()
-irit4hz = timeside.analyzer.IRITSpeech4Hz()
-
-# Grapher and Encoder
-grapher = timeside.grapher.Spectrogram()
-encoder = timeside.encoder.VorbisEncoder('sweep.ogg')
-
-# Then, the magic pipeline:
-(decoder | analyzer | irit4hz | grapher | encoder).run()
-
-# Get the results:
-grapher.render(output='image.png')
-for key in analyzer.results.keys():
- print '%s in %s : %s'% (analyzer.results[key].name,
- analyzer.results[key].unit,
- analyzer.results[key].data)
- \end{lstlisting}
- \end{minipage}
- \hskip2ex
- \begin{minipage}{0.32\linewidth}
- \begin{center}
- \textbf{Results}
- \begin{figure}
- \centering
- \includegraphics[width=\linewidth]{img/spectrogram.png}
- \caption{Spectrogram (sweep signal)}
- \end{figure}
- \end{center}
- \vskip5ex
- \begin{lstlisting}
-Level Analyzer Max:[-6.021]
-Level Analyzer RMS:[-9.856]
- \end{lstlisting}
- \end{minipage}
- \end{block}
-\end{frame}
-
\begin{frame}
\frametitle{Détecteur de parole IRIT (4Hz modulation)}
\begin{center}