Data augmentation approaches for improving animal audio PDF

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

MULTISCALE SCATTERING FOR AUDIO CLASSIFICATION. Joakim Andén. CMAP Ecole Polytechnique

Sound Classification in a Smart Room Environment: an Approach

Mar 10 2014 Key words: Gaussian mixture model; Hidden Markov model; Background noise; Sound classification in smart rooms; Wavelet transform. 1.

Multiobjective Time Series Matching for Audio Classification and

Aug 28 2017 Multiobjective Time Series Matching for Audio Classification and. Retrieval. IEEE Transactions on Audio

MULTISCALE SCATTERING FOR AUDIO CLASSIFICATION

MULTISCALE SCATTERING FOR AUDIO CLASSIFICATION. Joakim Andén. CMAP Ecole Polytechnique

Agglomerative Clustering for Audio Classification using Low-level

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 With Application to

TEMPORAL INTEGRATION FOR AUDIO CLASSIFICATION. 175. Fig. 1. Architecture of the musical instrument recognition system. tion of several observation vectors

A Robust Approach for Securing Audio Classification Against

which have shown remarkable performances on image clas- sification tasks (e.g. ImageNet dataset) have also been used for environmental sound classification.

Few-Shot Audio Classification with Attentional Graph Neural Networks

Sep 15 2019 learning with graph neural network [1] in audio classification scenario. The objective of proposed attentional framework is.