One of the prominent classification problems is to classify sounds and to predict the category of that sound. Some of the applications where such a
MULTISCALE SCATTERING FOR AUDIO CLASSIFICATION. Joakim Andén. CMAP Ecole Polytechnique
Mar 10 2014 Key words: Gaussian mixture model; Hidden Markov model; Background noise; Sound classification in smart rooms; Wavelet transform. 1.
Aug 28 2017 Multiobjective Time Series Matching for Audio Classification and. Retrieval. IEEE Transactions on Audio
MULTISCALE SCATTERING FOR AUDIO CLASSIFICATION. Joakim Andén. CMAP Ecole Polytechnique
Mar 16 2017 Agglomerative Clustering for Audio Classification using Low-level Descriptors. Frédéric LE BEL – frdric.lebel@gmail.com. Centre de recherche en ...
TEMPORAL INTEGRATION FOR AUDIO CLASSIFICATION. 175. Fig. 1. Architecture of the musical instrument recognition system. tion of several observation vectors
which have shown remarkable performances on image clas- sification tasks (e.g. ImageNet dataset) have also been used for environmental sound classification.
Sep 15 2019 learning with graph neural network [1] in audio classification scenario. The objective of proposed attentional framework is.
Sound classification and recognition has been included among the pattern recognition tasks for different application domains. e.g. speech recognition [2]