Clusterized Mel Filter Cepstral Coefficients and Support Vector Machines for Bird Song Identification

The method we present here is a rather simple strategy for bird songs and calls classification. It builds on known and efficient technologies and ideas and must be considered as a baseline on this challenge. As we are also co-organizing this challenge, our participation aimed at defining a baseline system, with raw features, that all other participants could compare too. We did not look for optimizing each parameter of our system, and as any other participant, we conducted all the modeling and experimentation applying strictly the rules of the challenge. The method we present is dedicated to the particular setting of the challenge. It relies in particular on the fact that training signals are monolabel, i.e. only one species may be heard, while test signals are multilabeled.