RelatedMaterial
|
update: {"note"=>[nil, ""], "feature"=>[nil, false]}
|
2024-01-29T19:44:15Z
|
RelatedMaterial
|
update: {"note"=>[nil, ""], "feature"=>[nil, false]}
|
2024-01-29T19:44:15Z
|
RelatedMaterial
|
update: {"note"=>[nil, ""], "feature"=>[nil, false]}
|
2024-01-29T19:44:15Z
|
RelatedMaterial
|
update: {"uri"=>["https://arxiv.org/pdf/1903.02094.pdf", "10.1109/ICASSP.2019.8682733"], "uri_type"=>["URL", "DOI"], "note"=>[nil, ""], "feature"=>[nil, false]}
|
2024-01-29T19:44:15Z
|
RelatedMaterial
|
create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1016/j.apacoust.2021.108229", "uri"=>"10.1016/j.apacoust.2021.108229", "uri_type"=>"DOI", "citation"=>"Juan De La Torre Cruz, Francisco Jesús Cañadas Quesada, Damián Martínez-Muñoz, Nicolás Ruiz Reyes, Sebastián García Galán, and Julio José Carabias Orti. 2021. \"An incremental algorithm based on multichannel non-negative matrix partial co-factorization for ambient denoising in auscultation\". Applied Acoustics. Volume 182, 2021, 108229. https://doi.org/10.1016/j.apacoust.2021.108229", "dataset_id"=>724, "selected_type"=>"Article", "datacite_list"=>"IsCitedBy"}
|
2021-06-22T18:25:12Z
|
RelatedMaterial
|
update: {"uri"=>[nil, "10.13012/B2IDB-6216881_V1"], "uri_type"=>[nil, "DOI"], "datacite_list"=>[nil, "IsSupplementedBy"]}
|
2021-06-22T18:25:12Z
|
RelatedMaterial
|
update: {"uri"=>[nil, "https://publish.illinois.edu/augmentedlistening/"], "uri_type"=>[nil, "URL"], "datacite_list"=>[nil, "IsSupplementTo"]}
|
2021-06-22T18:25:12Z
|
RelatedMaterial
|
create: {"material_type"=>"Dataset", "availability"=>nil, "link"=>"https://doi.org/10.13012/B2IDB-6216881_V1", "uri"=>nil, "uri_type"=>nil, "citation"=>"Corey, Ryan M.; Skarha, Matthew D.; Singer, Andrew C. (2019): Massive Distributed Microphone Array Dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6216881_V1 ", "dataset_id"=>724, "selected_type"=>"Dataset", "datacite_list"=>nil}
|
2019-10-20T21:48:48Z
|
RelatedMaterial
|
create: {"material_type"=>"Website", "availability"=>nil, "link"=>"https://publish.illinois.edu/augmentedlistening/", "uri"=>nil, "uri_type"=>nil, "citation"=>"Innovation in Augmented Listening Technology", "dataset_id"=>724, "selected_type"=>"Other", "datacite_list"=>nil}
|
2019-10-20T21:48:48Z
|
RelatedMaterial
|
update: {"link"=>["https://arxiv.org/pdf/1903.02094.pdf", "https://doi.org/10.1109/ICASSP.2019.8682733"]}
|
2019-10-20T21:48:48Z
|
Dataset
|
update: {"data_curation_network"=>[false, true]}
|
2019-05-29T16:09:45Z
|
RelatedMaterial
|
update: {"link"=>["", "https://arxiv.org/pdf/1903.02094.pdf"], "uri"=>[nil, "https://arxiv.org/pdf/1903.02094.pdf"], "uri_type"=>[nil, "URL"], "datacite_list"=>[nil, "IsSupplementTo"]}
|
2019-03-12T20:07:34Z
|
RelatedMaterial
|
create: {"material_type"=>"Article", "availability"=>nil, "link"=>"", "uri"=>nil, "uri_type"=>nil, "citation"=>"Ryan M. Corey, Naoki Tsuda, and Andrew C. Singer. \"Acoustic Impulse Responses for Wearable Audio Devices,\" IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.", "dataset_id"=>724, "selected_type"=>"Article", "datacite_list"=>nil}
|
2019-03-05T21:22:45Z
|
Dataset
|
update: {"description"=>["A dataset of acoustic impulse responses for microphones worn on the body. Microphones were placed at 80 positions on the body of a human subject and a plastic mannequin. The impulse responses can be used to study the acoustic effects of the body and can be convolved with sound sources to simulate wearable audio devices and microphone arrays. The dataset also includes measurements with different articles of clothing covering some of the microphones and with microphones placed on different hats and accessories. The measurements were performed from 24 angles of arrival in an acoustically treated laboratory.\r\n\r\nAll impulse responses are sampled at 48 kHz and truncated to 500 ms. The impulse response data is provided in WAVE audio and MATLAB data file formats. The microphone locations are provided in tab-separated-value files for each experiment and are also depicted graphically in the documentation.\r\n\r\nThe file wearable_mic_dataset_full.zip contains both WAVE- and MATLAB-format impulse responses.\r\nThe file wearable_mic_dataset_matlab.zip contains only MATLAB-format impulse responses.\r\nThe file wearable_mic_dataset_wave.zip contains only WAVE-format impulse responses.", "A dataset of acoustic impulse responses for microphones worn on the body. Microphones were placed at 80 positions on the body of a human subject and a plastic mannequin. The impulse responses can be used to study the acoustic effects of the body and can be convolved with sound sources to simulate wearable audio devices and microphone arrays. The dataset also includes measurements with different articles of clothing covering some of the microphones and with microphones placed on different hats and accessories. The measurements were performed from 24 angles of arrival in an acoustically treated laboratory.\r\n\r\nRelated Paper: Ryan M. Corey, Naoki Tsuda, and Andrew C. Singer. \"Acoustic Impulse Responses for Wearable Audio Devices,\" IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.\r\n\r\nAll impulse responses are sampled at 48 kHz and truncated to 500 ms. The impulse response data is provided in WAVE audio and MATLAB data file formats. The microphone locations are provided in tab-separated-value files for each experiment and are also depicted graphically in the documentation.\r\n\r\nThe file wearable_mic_dataset_full.zip contains both WAVE- and MATLAB-format impulse responses.\r\nThe file wearable_mic_dataset_matlab.zip contains only MATLAB-format impulse responses.\r\nThe file wearable_mic_dataset_wave.zip contains only WAVE-format impulse responses."]}
|
2019-03-05T21:22:45Z
|