\href{https://github.com/Parisson/Telemeta/}{\raisebox{-.2\height}{\includegraphics[width=1.5cm]{img/misc/GitHub-Mark-120px-plus.png}}\hskip2ex
\textbf{\texttt{https://github.com/Parisson/Telemeta/}}}
\end{tcolorbox}
-
+ \begin{center}
+ \includegraphics[height=3cm]{img/misc/python-logo-master-v3-TM.png}\hspace{3cm}
+ \includegraphics[height=3cm]{img/misc/django-logo-negative.png}
+ \end{center}
+
\begin{minipage}[h]{0.97\linewidth}
\begin{block}{Web audio content management}
\begin{itemize}
efficient and secure methods for \alert{backuping},
\alert{indexing}, \alert{transcoding}, \alert{analysing}
and \alert{publishing} any digitalized audio file with
- its metadata.
- \item \emph{Telemeta} is ideal for professional
- collaborators who wants to easily organize, backup,
- archive and publish documented sound collections of
- audio files, CDs, digitalized vinyls and magnetic tapes
- over a strong database in accordance with \alert{open
+ its metadata and in accordance with \alert{open
web standards}.
+ % \item \emph{Telemeta} is ideal for professional
+ % collaborators who wants to easily organize, backup,
+ % archive and publish documented sound collections of
+ % audio files, CDs, digitalized vinyls and magnetic tapes
+ % over a strong database in accordance with \alert{open
+ % web standards}.
\item \emph{Telemeta} architecture is \alert{flexible} and
can easily be adapted to particular database
organization of a given sound archives.
\end{itemize}
- \begin{center}
- \includegraphics[height=3cm]{img/misc/python-logo-master-v3-TM.png}\hspace{3cm}
- \includegraphics[height=3cm]{img/misc/django-logo-negative.png}
- \end{center}
The main features of \emph{Telemeta} are: \vspace{-0.5cm}
\begin{multicols}{2}[]
provided through an external component, \emph{TimeSide}.
\end{block}
- \begin{block}{Metadata}
+ \begin{block}{Metadata - Semantic Web}
\vspace{-0.5cm}
\begin{itemize}
\item In addition to the audio data, dynamically handling
archive related information and include related materials
in any multimedia format.
- \textbf{Annotations and segmentation}\\
- Metadata also consist in temporal information such as:
+ \textbf{Annotations and segmentation (time-indexed information)}
\begin{itemize}
\item a list of \alert{time-coded markers} associated with
annotations
\item a list of of \alert{time-segments} associated with
labels (\emph{in development}) .
\end{itemize}
- The ontology for those labels is relevant for
- ethnomusicology (e.g. speech versus singing voice segment,
- chorus, ...). It should be noted that annotations and
- segmentation can be done either by a human expert or by
- some automatic signal processing analysis.
+ %The ontology for those labels is relevant for
+ %ethnomusicology (e.g. speech versus singing voice segment,
+ %chorus, ...). It should be noted that annotations and
+ %segmentation can be done either by a human expert or by
+ %some automatic signal processing analysis.
\end{block}
\end{minipage}
\end{center}
\item \alert{Publish} collected ressources together with research
work.
- \item \alert{Exchange} data online with other researchers or
- communities producing their music in their home countries
- through collaborative tools like markers and comments.
+ \item \alert{Exchange} data online and \alert{collaborate} with other researchers or
+ communities producing their music in their home countries.
\end{itemize}
\item \textbf{Teaching}: Ressources for teachers in \emph{anthropology} or
\emph{ethnomusicology} as it provides the students an access to
\end{tcolorbox}
\end{center}
-
-
%\begin{columns}[T]
%\begin{minipage}{0.34\linewidth}
% \begin{column}{.36\linewidth}
\hskip2ex
\begin{beamerboxesrounded}[shadow=true, width=0.95\linewidth]{Functionality}
\begin{itemize}
- \item \alert{Do} asynchronous and fast audio processing with
- Python.
- \item \alert{Decode} ANY audio or video format into numpy arrays
- thanks to Gstreamer.
- \item \alert{Analyze} audio content with some external audio
- feature extraction libraries.
+ \item \alert{Decode} ANY audio or video format into Python numpy arrays
+ with \raisebox{-.3\height}{\includegraphics[height=2cm]{img/misc/Gstreamer-logo.png}}.
+ \item \alert{Analyze} audio content through its own \alert{plugins API}%feature extraction libraries.
\item \alert{Organize}, \alert{serialize} and \alert{save}
analysis metadata through various formats.
\item \alert{Draw} various waveforms, spectrograms and
\begin{center}
\begin{figure}[h]
\centering
- \includegraphics[width=0.75\linewidth]{img/results/IRIT_Speech4Hz.png}
+ \includegraphics[width=0.7\linewidth]{img/results/IRIT_Speech4Hz.png}
\caption{Speech activity detection}
\label{fig:TS_SAD}
\end{figure}
\begin{figure}[h]
\centering
- \includegraphics[width=0.75\linewidth]{img/results/SOLO_DUOdetection.png}
+ \includegraphics[width=0.7\linewidth]{img/results/SOLO_DUOdetection.png}
\caption{Monody / polyphony detection}
\label{fig:TS_Monopoly}
\end{figure}
\vspace{-1cm}
\begin{multicols}{2}[]
\begin{itemize}
- \item \alert{Annotate} multimedia items by time segments supporting both free annotations and ontology-based annotations
- \item Efficiently \alert{visualize} results from analysis from various data types together with X-Y zoom capability and audio synchronization by using state-of-the-art multimedia JavaScript libraries: \emph{D3.js}, JQueryUI and audio libraries from the Wave project (\url{http://wave.ircam.fr/})
- \item Design, manage and run analyses on large audio corpus and serialize the results through a REST web API with the TimeSide server
- \item Increase the analysis functionality with various automatic analysis and annotation tools for speech, audio, Music Information Retrieval and ethnomusicology (DIADEMS project).
+ \item Enhance the audio player (Web audio API)
+ \item Provide a flexible user-interface with time-synchronized \alert{visualization} panels for \emph{audio, signal analysis and annotations}.
+ \item Enhance user interaction with \alert{X-Y zoom} and \alert{annotation} capabilities
+ %\item \alert{Annotate} multimedia items by time segments supporting both free annotations and ontology-based annotations
+ %\item Efficiently \alert{visualize} results from analysis from various data types together with X-Y zoom capability and audio synchronization by using state-of-the-art multimedia JavaScript libraries: \emph{D3.js}, JQueryUI and
+ \item Integrates WAVES.JS JavaScript library from the Wave project (\url{http://wave.ircam.fr/})
+ \item Provide a REST web API (TimeSide server) to design, manage and run audio signal analysis on large audio corpus and serve the result over the web
+ \item Provide new audio analysis plugins
+ % \item Increase the analysis functionality with various automatic analysis and annotation tools for speech, audio, Music Information Retrieval and ethnomusicology (DIADEMS project).
+ \item Provide a collaborative workflow for users (define workgroups, share data and annotations, ...)
\end{itemize}
\end{multicols}
projects / telemeta-doc.git / commitdiff