A multimodal approach to mapping soundscapes

Tawfiq Salem; Menghua Zhai; Scott Workman; Nathan Jacobs

doi:10.1109/IGARSS.2018.8517977

A multimodal approach to mapping soundscapes

Tawfiq Salem, Menghua Zhai, Scott Workman, Nathan Jacobs

Computer Science

Producción científica: Conference contribution › revisión exhaustiva

11 Citas (Scopus)

Resumen

We explore the problem of mapping soundscapes, that is, predicting the types of sounds that are likely to be heard at a given geographic location. Using a novel dataset, which includes geo-tagged audio and overhead imagery, we develop an approach for constructing an aural atlas, which captures the geospatial distribution of soundscapes. We build on previous work relating sound to ground-level imagery but incorporate overhead imagery to overcome the limitations of sparsely distributed geo-tagged audio. In the end, all that we require to construct an aural atlas is overhead imagery of the region of interest. We show examples of aural atlases at multiple spatial scales, from block-level to country.

Idioma original	English
Título de la publicación alojada	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Páginas	3477-3480
Número de páginas	4
ISBN (versión digital)	9781538671504
DOI	https://doi.org/10.1109/IGARSS.2018.8517977
Estado	Published - oct 31 2018
Evento	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain Duración: jul 22 2018 → jul 27 2018

Serie de la publicación

Nombre	International Geoscience and Remote Sensing Symposium (IGARSS)
Volumen	2018-July

Conference

Conference	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
País/Territorio	Spain
Ciudad	Valencia
Período	7/22/18 → 7/27/18

Nota bibliográfica

Publisher Copyright:
© 2018 IEEE

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

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10.1109/IGARSS.2018.8517977

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@inproceedings{305c8924a5dc4fb4b6a80a5070ff98cc,

title = "A multimodal approach to mapping soundscapes",

abstract = "We explore the problem of mapping soundscapes, that is, predicting the types of sounds that are likely to be heard at a given geographic location. Using a novel dataset, which includes geo-tagged audio and overhead imagery, we develop an approach for constructing an aural atlas, which captures the geospatial distribution of soundscapes. We build on previous work relating sound to ground-level imagery but incorporate overhead imagery to overcome the limitations of sparsely distributed geo-tagged audio. In the end, all that we require to construct an aural atlas is overhead imagery of the region of interest. We show examples of aural atlases at multiple spatial scales, from block-level to country.",

keywords = "Audio, Mapping, Multimodal, Satellite",

author = "Tawfiq Salem and Menghua Zhai and Scott Workman and Nathan Jacobs",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

year = "2018",

month = oct,

day = "31",

doi = "10.1109/IGARSS.2018.8517977",

language = "English",

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booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",

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Salem, T, Zhai, M, Workman, S & Jacobs, N 2018, A multimodal approach to mapping soundscapes. En 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8517977, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, pp. 3477-3480, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 7/22/18. https://doi.org/10.1109/IGARSS.2018.8517977

A multimodal approach to mapping soundscapes. / Salem, Tawfiq; Zhai, Menghua; Workman, Scott et al.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. 2018. p. 3477-3480 8517977 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July).

Producción científica: Conference contribution › revisión exhaustiva

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T1 - A multimodal approach to mapping soundscapes

AU - Salem, Tawfiq

AU - Zhai, Menghua

AU - Workman, Scott

AU - Jacobs, Nathan

PY - 2018/10/31

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N2 - We explore the problem of mapping soundscapes, that is, predicting the types of sounds that are likely to be heard at a given geographic location. Using a novel dataset, which includes geo-tagged audio and overhead imagery, we develop an approach for constructing an aural atlas, which captures the geospatial distribution of soundscapes. We build on previous work relating sound to ground-level imagery but incorporate overhead imagery to overcome the limitations of sparsely distributed geo-tagged audio. In the end, all that we require to construct an aural atlas is overhead imagery of the region of interest. We show examples of aural atlases at multiple spatial scales, from block-level to country.

AB - We explore the problem of mapping soundscapes, that is, predicting the types of sounds that are likely to be heard at a given geographic location. Using a novel dataset, which includes geo-tagged audio and overhead imagery, we develop an approach for constructing an aural atlas, which captures the geospatial distribution of soundscapes. We build on previous work relating sound to ground-level imagery but incorporate overhead imagery to overcome the limitations of sparsely distributed geo-tagged audio. In the end, all that we require to construct an aural atlas is overhead imagery of the region of interest. We show examples of aural atlases at multiple spatial scales, from block-level to country.

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KW - Satellite

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A multimodal approach to mapping soundscapes

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