\r
The time-based nature of such audio-visual materials and some associated metadata as annotations raises issues of access and visualization at a large scales. Easy and on demand access to these data, as you listen to the recording, represents a significant improvement.\r
\r
-An overview of the Telemeta's web interface is illustrated in Figure~\ref{fig:Telemeta}. Its flexible and streaming safe architecture is represented in Figure~\ref{fig:TM_arch}.\r
-\r
+An overview of the Telemeta's web interface is illustrated in Figure~\ref{fig:Telemeta}.\r
\begin{figure}\r
\centering\r
\fbox{\includegraphics[width=0.97\linewidth]{img/telemeta_screenshot_en.png}}\r
\caption[1]{Screenshot excerpt of the Telemeta web interface}\r
\label{fig:Telemeta}\r
\end{figure}\r
-\r
+Its flexible and streaming safe architecture is represented in Figure~\ref{fig:TM_arch}.\r
\begin{figure*}[htbp]\r
\centering\r
\includegraphics[width=0.5\linewidth]{img/TM_arch.pdf}\r
\subsection{Audio features extraction}\r
In order to provide Music Information Retrieval analysis methods to be implemented over a large corpus for ethnomusicological studies, TimeSide incorporates some state-of-the-art audio feature extraction libraries such as Aubio\footnote{\url{http://aubio.org/}} \citep{brossierPhD}, Yaafe\footnote{\url{https://github.com/Yaafe/Yaafe}} \citep{yaafe_ISMIR2010} and Vamp plugins\footnote{ \url{http://www.vamp-plugins.org}}.\r
\r
-As a open-source framework and given its architecture and the flexibility provided by Python, the implementation of any audio and music analysis algorithm can be consider and makes it a very convenient framework.\r
+As a open-source framework and given its architecture and the flexibility provided by Python, the implementation of any audio and music analysis algorithm can be consider. Thus, it makes it a very convenient framework for researchers in computational ethnomusicology to develop and evaluate their algorithms.\r
\r
Given the extracted features, every sound item in a given collection can be automatically analyze. The results of this analysis can be stored in a scientific file format like Numpy and HDF5 and serialized to the web browser through common markup languages: XML, JSON and YAML.\r
\r
\r
\section{Conclusion}\r
\r
-The Telemeta open-source framework provides the researchers in musicology with a new platform to efficiently distribute, share and work on their research materials. Furthermore, this platform is offered automatic music analysis capabilities through an external component, TimeSide that provides a flexible computational analysis engine together with web serialization and visualization capabilities.\r
+The Telemeta open-source framework provides the researchers in musicology with a new platform to efficiently distribute, share and work on their research materials.\r
+The platform has been deployed since 2011 to manage the \emph{Sound archives of the CNRS - Musée de l'Homme} which is the most important european collection of ethnomusicocological resources.\r
\r
-Further works on the user interface will enhance the visualization experience with time and frequency zooming capabilities and will thus improve the accuracy and the quality of time-segment base annotations.\r
+Furthermore, this platform is offered automatic music analysis capabilities through an external component, TimeSide that provides a flexible computational analysis engine together with web serialization and visualization capabilities. As an open-source framework TimeSide could be an appropriate platform for researchers in computational ethnomusicology to develop and evaluate their algorithms\r
\r
+Further works on the user interface will enhance the visualization experience with time and frequency zooming capabilities and will thus improve the accuracy and the quality of time-segment base annotations.\r
\r
\r
\section*{Acknowledgments} \r