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Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma.

Y. Koizumi, S. Saito, H. Uematsu, Y. Kawachi, and N. Harada. IEEE/ACM Trans. Audio, Speech & Language Processing, 27 (1): 212-224 (2019)

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Interchannel dependency analysis of biomedical signals for efficient lossless compression by MPEG-4 ALS.Y. Kamamoto, N. Harada, and T. Moriya. ICASSP, page 569-572. IEEE, (2008)Emerging ITU-T standard G.711.0 - lossless compression of G.711 pulse code modulation.N. Harada, Y. Kamamoto, T. Moriya, Y. Hiwasaki, M. Ramalho, L. Netsch, J. Stachurski, L. Miao, H. Taddei, and F. Qi. ICASSP, page 4658-4661. IEEE, (2010)Resolution Warped Spectral Representation for Low-Delay and Low-Bit-Rate Audio Coder.R. Sugiura, Y. Kamamoto, N. Harada, H. Kameoka, and T. Moriya. IEEE/ACM Trans. Audio, Speech & Language Processing, 23 (2): 288-299 (2015)Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma.Y. Koizumi, S. Saito, H. Uematsu, Y. Kawachi, and N. Harada. CoRR, (2018)End-to-End Sound Source Enhancement Using Deep Neural Network in the Modified Discrete Cosine Transform Domain.Y. Koizumi, N. Harada, Y. Haneda, Y. Hioka, and K. Kobayashi. ICASSP, page 706-710. IEEE, (2018)Complementary Set Variational Autoencoder for Supervised Anomaly Detection.Y. Kawachi, Y. Koizumi, and N. Harada. ICASSP, page 2366-2370. IEEE, (2018)Image processing techniques for high speed camera-based free-field optical communication.G. Nava, Y. Kamamoto, T. Sato, Y. Shiraki, N. Harada, and T. Moriya. ICSIPA, page 384-389. IEEE, (2013)Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma.Y. Koizumi, S. Saito, H. Uematsu, Y. Kawachi, and N. Harada. IEEE/ACM Trans. Audio, Speech & Language Processing, 27 (1): 212-224 (2019)Lossless Compression of Mapped Domain Linear Prediction Residual for ITU-T Recommendation G.711.0.N. Harada, Y. Kamamoto, and T. Moriya. DCC, page 532. IEEE Computer Society, (2010)Enhanced Lossless Coding Tools of LPC Residual for ITU-T G.711.0.T. Moriya, Y. Kamamoto, and N. Harada. DCC, page 546. IEEE Computer Society, (2010)

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Disambiguation of "Harada, Noboru"

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Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma.

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PUMA

Disambiguation of "Harada, Noboru"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma.

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Other publications of authors with the same name

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APA
Chicago
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Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma.