This paper presents a sound event detection system based on mel-frequency cepstral coefficients and a non-parametric classifier. Sys-
tem performance is tested using the training and development datasets corresponding to the second task of the DCASE 2016 chal-lenge. Results indicate that the most relevant spectral information for event detection is below 8000 Hz and that the general shape of the spectral envelope is much more relevant than its fine details.