… classification and show promise for audio. We use various CNN architectures to classify the
… of the CNNs used in image classification do well on our audio classification task, and larger …

… We presented the two sample-level CNN models that directly take raw waveforms as … audio
classification tasks. The results show the possibility that they can be applied to different audio …

… in music auto-tagging, and termed the CNN architecture as SampleCNN. Pons et al. also …
a comprehensive evaluation of CNN architectures for (music) audio classification using the …

… ever despite there being an improvement in the standard CNN architectures from … audio
tasks. Most of the works shifted their focus to building models that were more tailored for audio …

… between deep neural setups on typical audio classification tasks, focusing on optimizing 1D
… various audio in-formation retrieval tasks, such as general audio detection and classification…

… We propose an efficient end-to-end convolutional neural network architecture, AclNet, for
audio classification. When trained with our data augmentation and regularization, we achieved …

… Such architecture works with small audio frames and, for practical applications, the ability
to perform a classification using very short samples can lead to the possibility to use such …

… audio classification by representing audio as spectrogram images and then use a CNN-based
architecture for classification. … proposed methodology and CNN architectures is presented. …

… of audio classification tasks. In particular, we focus on works published under five different
deep neural network architectures… of CNN architectures for image and video classification, and …

… architecture [1]. We build on top of this result to evaluate current CNN architectures for audio
classification: … goal to compare classification performances when different non-trained CNN …