MULTISCALE SCATTERING FOR AUDIO CLASSIFICATION
This paper shows that the non-stationary be- havior lost by MFSC coefficients is captured by a scatter ficient representations for audio classification.
Audio Classification: Environmental sounds classification
In this paper a high-accuracy algorithm of audio classification is presented. We plan to discriminate different environment sound in a one-to-four-second
Unsupervised feature learning for audio classification using
In this paper we apply convolutional deep belief net- works to audio data and empirically evaluate them on various audio classification tasks. In the case of
An Ensemble of Convolutional Neural Networks for Audio
22 juin 2021 In this paper ensembles of ... Keywords: audio classification; data augmentation; ensemble of classifiers; pattern recognition.
MULTISCALE SCATTERING FOR AUDIO CLASSIFICATION
This paper shows that the non-stationary be- havior lost by MFSC coefficients is captured by a scatter ficient representations for audio classification.
ESC: Dataset for Environmental Sound Classification
The paper also provides an evaluation of human accuracy in classifying environmen- tal sounds and compares it to the performance of selected baseline
SSAST: Self-Supervised Audio Spectrogram Transformer - Yuan
This paper focuses on audio and speech classification and aims to reduce the need for large amounts of labeled data for the AST by leveraging self-supervised
Data augmentation approaches for improving animal audio
In this paper we present ensembles of classifiers for automated animal audio classification exploiting different data augmentation techniques for training
Convolutional Recurrent Neural Networks for Urban Sound
classification and extended to use bird audio detection [26] and music emotion recognition [27]. In this paper we introduce CRNNs for environmental.
