From d38bc7b54a3ad5e783a29e43e54331ae75e8a6a4 Mon Sep 17 00:00:00 2001 From: Thomas Fillon Date: Mon, 12 May 2014 15:13:13 +0200 Subject: [PATCH] Update FMA 2014 article, minor changes --- Publications/Conferences/2014_FMA/fma2014_Telemeta.tex | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Publications/Conferences/2014_FMA/fma2014_Telemeta.tex b/Publications/Conferences/2014_FMA/fma2014_Telemeta.tex index 7b027c7..3f74ecd 100644 --- a/Publications/Conferences/2014_FMA/fma2014_Telemeta.tex +++ b/Publications/Conferences/2014_FMA/fma2014_Telemeta.tex @@ -165,7 +165,7 @@ In order to provide Music Information Retrieval analysis methods to be implement 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. -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}). +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. \subsection{Automatic Analysis of ethnomusicological sound archives} -- 2.39.5