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Adaptive audio classification for smartphone in noisy car environment

Title
Adaptive audio classification for smartphone in noisy car environment
Authors
Won, M.Alsaadan, H.Eun, Yong Soon
DGIST Authors
Eun, Yong Soon
Issue Date
2017-10-23
Citation
25th ACM International Conference on Multimedia, MM 2017, 1672-1679
Type
Conference
Abstract
With ever-increasing number of car-mounted electronic devices that are accessed, managed, and controlled with smartphones, car apps are becoming an important part of the automotive industry. Audio classification is one of the key components of car apps as a front-end technology to enable human-app interactions. Existing approaches for audio classification, however, fall short as the unique and time-varying audio characteristics of car environments are not appropriately taken into account. Leveraging recent advances in mobile sensing technology that allow for effective and accurate driving environment detection, in this paper, we develop an audio classification framework for mobile apps that categorizes an audio stream into music, speech, speech+music, and noise, adaptably depending on different driving environments. A case study is performed with four different driving environments, i.e., highway, local road, crowded city, and stopped vehicle. More than 420 minutes of audio data are collected including various genres of music, speech, speech+music, and noise from the driving environments. The results demonstrate that the proposed approach improves the average classification accuracy by up to 166%, and 64% for speech, and speech+music, respectively, compared with a non-adaptive approach in our experimental settings. © 2017 Copyright held by the owner/author(s).
URI
http://hdl.handle.net/20.500.11750/5778
DOI
10.1145/3123266.3123397
Publisher
Association for Computing Machinery, Inc
Related Researcher
  • Author Eun, Yong Soon DSC Lab(Dynamic Systems and Control Laboratory)
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
Files:
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Collection:
Department of Information and Communication EngineeringDSC Lab(Dynamic Systems and Control Laboratory)2. Conference Papers


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