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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
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-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 (\emph{Numpy}, \emph{HDF5}) and serialized to the web browser through commons markup languages (\emph{xml}, \emph{json}, \emph{yaml}).\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
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\subsection{Automatic Analysis of ethnomusicological sound archives}\r