2,881 to 2,890 of 3,880 Results
Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 7.4 MB -
MD5: 74b06099634193b7bf7aa404b68f8d50
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 18.9 MB -
MD5: 449c0a7f860b3f080081b26a084fc719
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 8.8 MB -
MD5: c4829f96458200bf1ddb02289290c5f5
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
PNG Image - 292.2 KB -
MD5: cae5b288ab16e4918ed718b589c34934
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
PNG Image - 4.3 KB -
MD5: 65c5225d4f4be62d20f360dc9ee88916
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 145.8 MB -
MD5: 64c95ae3c3fad743013adac95d4c6631
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 7.7 MB -
MD5: 3fbd8c3357a2f73a87d09198b38e79f4
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 21.6 MB -
MD5: a49ae85796a774be009b883987206e3a
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Mar 15, 2022 - Sarthak Srivastava
Sarthak, Srivastava, 2020, "Replication Data for: GNSS TEC based detection and analysis of acoustic-gravity waves from the 2012 Sumatra double earthquake sequence", https://doi.org/10.21979/N9/SKQRTF, DR-NTU (Data), V3, UNF:6:F4p8cFB3xODkN9piXP9fiA== [fileUNF]
Processed data for replicating figures presented in the paper 'GNSS TEC based detection and analysis of acoustic-gravity waves from the 2012 Sumatra double earthquake sequence' submitted to Journal of Geophysical Research: Space Physics. |
Jan 28, 2022 - Digital Signal Processing Laboratory
Ooi, Kenneth; Watcharasupat, Karn N.; Lam, Bhan; Ong, Zhen-Ting; Gan, Woon-Seng, 2022, "Dataset for: Probably Pleasant? A Neural-Probabilistic Approach to Automatic Masker Selection for Urban Soundscape Augmentation", https://doi.org/10.21979/N9/YSJQKD, DR-NTU (Data), V1
This dataset contains the log-mel spectrograms for the augmented soundscapes described in our ICASSP 2022 submission "Probably Pleasant? A Neural-Probabilistic Approach to Automatic Masker Selection for Urban Soundscape Augmentation", in .npy format. The data can be accessed usin... |
