Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework
This article proposes an encoder-decoder network model for Acoustic Scene Classification
(ASC), the task of identifying the scene of an audio recording from its acoustic signature. We …
(ASC), the task of identifying the scene of an audio recording from its acoustic signature. We …
Divide and distill: new outlooks on knowledge distillation for environmental sound classification
AM Tripathi, OJ Pandey - IEEE/ACM Transactions on Audio …, 2023 - ieeexplore.ieee.org
Environmental sound classification (ESC) is an important research problem with a broad
range of applications including audio-based surveillance, audio-visual systems, smart …
range of applications including audio-based surveillance, audio-visual systems, smart …
Spectrum correction: Acoustic scene classification with mismatched recording devices
M Kośmider - arXiv preprint arXiv:2105.11856, 2021 - arxiv.org
Machine learning algorithms, when trained on audio recordings from a limited set of devices,
may not generalize well to samples recorded using other devices with different frequency …
may not generalize well to samples recorded using other devices with different frequency …
Exploiting parallel audio recordings to enforce device invariance in CNN-based acoustic scene classification
P Primus, H Eghbal-zadeh, D Eitelsebner… - arXiv preprint arXiv …, 2019 - arxiv.org
Distribution mismatches between the data seen at training and at application time remain a
major challenge in all application areas of machine learning. We study this problem in the …
major challenge in all application areas of machine learning. We study this problem in the …
Deep semantic encoder-decoder network for acoustic scene classification with multiple devices
X Ma, Y Shao, Y Ma, WQ Zhang - 2020 Asia-Pacific Signal and …, 2020 - ieeexplore.ieee.org
In this paper, we proposed Mini-SegNet, a simplified encoder-decoder SegNet model to
capture deep semantic information in sound events. The semantic information can effectively …
capture deep semantic information in sound events. The semantic information can effectively …
Device robust acoustic scene classification using adaptive noise reduction and convolutional recurrent attention neural network
S Venkatesh, SG Koolagudi - International Conference On Speech And …, 2022 - Springer
Abstract Acoustic Scene Classification (ASC) is the task of identifying a scene using sound
cues and assigning a label to the identified scene. From the past two years, the datasets that …
cues and assigning a label to the identified scene. From the past two years, the datasets that …
Improving Domain Generalization for Sound Classification with Sparse Frequency-Regularized Transformer
Sound classification models' performance suffers from generalizing on out-of-distribution
(OOD) data. Numerous methods have been proposed to help the model generalize …
(OOD) data. Numerous methods have been proposed to help the model generalize …
Data Augmentation Methods for Cross-Device Acoustic Scene Classification
Recent advances in deep neural network (DNN) methods have improved the accuracy of
acoustic scene classification (ASC). However, these DNN systems have struggled to classify …
acoustic scene classification (ASC). However, these DNN systems have struggled to classify …
Data Augmentation Methods for Cross-Device Acoustic Scene Classification
FPTS Cloud - The 13th Conference on Information Technology …, 2024 - books.google.com
Recent advances in deep neural network (DNN) methods have improved the accuracy of
acoustic scene classification (ASC). However, these DNN systems have struggled to classify …
acoustic scene classification (ASC). However, these DNN systems have struggled to classify …
[图书][B] Robust deep learning frameworks for acoustic scene and respiratory sound classification
LD Pham - 2021 - search.proquest.com
Abstract Although research on Acoustic Scene Classification (ASC) is very close to, or even
overshadowed by different popular research areas known as Automatic Speech Recognition …
overshadowed by different popular research areas known as Automatic Speech Recognition …