Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds

M. M. Jam and H. Sadjedi, “Identification of hearing disorder by multi-band entropy cepstrum extraction from infant’s cry,” in

2009

Earlier work this paper cites.

T. Tagawa, Y. Tadokoro, and T. Yairi, “Structured denoising autoencoder for fault detection and analysis,” in

2015

Earlier work this paper cites.

J. An and S. Cho, “Variational autoencoder based anomaly detection using reconstruction probability,”

2015

Earlier work this paper cites.

Y. Kawaguchi and T. Endo, “How can we detect anomalies from subsampled audio signals?” in

2017

Earlier work this paper cites.

J. Li, W. Dai, F. Metze, S. Qu, and S. Das, “A comparison of deep learning methods for environmental sound detection,” in

2017

Earlier work this paper cites.

S. Hershey, S. Chaudhuri, D. P. Ellis, J. F. Gemmeke, A. Jansen, R. C. Moore, M. Plakal, D. Platt, R. A. Saurous, B. Seybold

2017

Cited alongside, same era.

A. Torfi, S. M. Iranmanesh, N. M. Nasrabadi, and J. M. Dawson, “3d convolutional neural networks for cross audio-visual matching recognition,”

2017

Cited alongside, same era.

Y. Koizumi, S. Saito, H. Uematsu, Y. Kawachi, and N. Harada, “Unsupervised detection of anomalous sound based on deep learning and the neyman–pearson lemma,”

2018

Cited alongside, same era.

Y. Koizumi, S. Saito, H. Uematsu, N. Harada, and K. Imoto, “Toyadmos: A dataset of miniature-machine operating sounds for anomalous sound detection,” in

2019

Cited alongside, same era.

H. Purohit, R. Tanabe, T. Ichige, T. Endo, Y. Nikaido, K. Suefusa, and Y. Kawaguchi, “MIMII Dataset: Sound dataset for malfunctioning industrial machine investigation and inspection,” in

2019

O. I. Provotar, Y. M. Linder, and M. M. Veres, “Unsupervised anomaly detection in time series using lstm-based autoencoders,” in

2019

Later among the works it cites.

Y. Koizumi, Y. Kawaguchi, K. Imoto, T. Nakamura, Y. Nikaido, R. Tanabe, H. Purohit, K. Suefusa, T. Endo, M. Yasuda, and N. Harada, “Description and discussion on dcase2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring,” 2020

2020

Closest in time.

C. Chen, W. Yuan, Y. Xie, Y. Qu, Y. Tao, H. Song, and L. Ma, “Novelty detection via non-adversarial generative network,”

Original

2020

Closest in time.

G. Sharma, K. Umapathy, and S. Krishnan, “Trends in audio signal feature extraction methods,”

2020

Closest in time.