Graduate School and Research Center in Digital Sciences

Audio analysis using edge computing for road side assistance systems

Todisco, Massimiliano; Datta, Soumya Kanti; Bonnet, Christian

ISCE 2017, 21st International IEEE Symposium on Consumer Electronics, November 14-15, 2017, Kuala Lumpur, Malaysia

Although Cloud Computing remains de-facto solution for IoT data processing, Edge Computing (EC) has started to gain its ground. EC systems are closer to devices generating various data types (audio, video, text etc.) and have capabilities to provide quick data validation and analysis. This paper explores one such application of EC for audio analysis in road side assistance services. A noise cancellation algorithm running in the EC system is described. A prototype of the overall scenario is developed and reported.

Document Doi Bibtex

Title:Audio analysis using edge computing for road side assistance systems
Keywords:Audio Analysis; Edge Computing; Internet of Things; Road Side Assistance
City:Kuala Lumpur
Department:Communication systems
Eurecom ref:5358
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Bibtex: @inproceedings{EURECOM+5358, doi = {}, year = {2017}, title = {{A}udio analysis using edge computing for road side assistance systems}, author = {{T}odisco, {M}assimiliano and {D}atta, {S}oumya {K}anti and {B}onnet, {C}hristian}, booktitle = {{ISCE} 2017, 21st {I}nternational {IEEE} {S}ymposium on {C}onsumer {E}lectronics, {N}ovember 14-15, 2017, {K}uala {L}umpur, {M}alaysia}, address = {{K}uala {L}umpur, {MALAYSIA}}, month = {11}, url = {} }
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