… extracts embeddings important for scene classification by adding a … acoustic scene
classification using residual normalization,” in Proc. Detection and Classification of Acoustic Scenes …

… Acoustic scene classification (ASC) is an audio classification task that identifies the
environment in which sounds are recorded. Audio-related machine learning algorithms suffer from …

… ASC dataset, we choose CDNN CRNN [25], Attention … CDNN CRNN [25] model is a joint
learning model based on a Deep CNN and Convolutional RNN. The Attention CNN [16] model …

… a robust and low complexity model for Acoustic Scene Classification (ASC), the task of
identifying the scene of an audio recording. We firstly construct an ASC model in which a novel …

… The acoustic scene classification aims to classify the acoustic scenes in a different … H.,
Kha, HH: CDNN-CRNN joined model for acoustic scene classification. In: Detection and …

… related works that use deep learning-based models to perform environmental sound
classification. … that uses a self-attention mechanism to perform acoustic scene classification (ASC). …

… The dataset contains 9185 and 4185 training and test signals containing ten different acoustic
scenes, ie Airport, Bus, Metro Station, Metro, Park, Public Square, Shopping Mall, Street …

… Dacan, “Acoustic scene classification based on deep … Jiang, “Acoustic scene classification
based on deep convolutional … , “Cdnn-CRNN joined model for acoustic scene classification,…

… We propose acoustic scene classification models for DCASE 2020 task 1a. We calculated
the class-wise and device-wise standard deviations and generated multi-channel features. …

… Jung et al. proposed a KD framework for acoustic scene classification (ASC) [36]. … joint loss
( L Joint New ) for KD is free from parameter T. The modified joint loss to train a student model …