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An Experiment of Sound Recognition using Machine Learning

Title
An Experiment of Sound Recognition using Machine Learning
Authors
Park, Young-JinCho, Hui-Sup
DGIST Authors
Park, Young-Jin; Cho, Hui-Sup
Issue Date
2020-11-03
Citation
2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
Type
Conference
ISBN
9781728161648
Abstract
In this study, we conduct a machine learning experiment using the UrbanSound8k dataset to recognize urban sound It can be used in cases where sound cannot be recognized due to a variety of noises through machine learning, and in areas where hearing must be protected, such as worker safety of workers. We extract mel-spectrogram from a sound file dataset and convert it to an image format for learning and validation and then determine the accuracy of the experiment. In the future, the results of our experiment will be used with non-contact sensor information from various devices such as electromagnetic sensors to safeguard workers operating in dangerous areas. © 2020 IEEE.
URI
http://hdl.handle.net/20.500.11750/12886
DOI
10.1109/ICCE-Asia49877.2020.9277368
Publisher
Institute of Electrical and Electronics Engineers Inc.
Files:
There are no files associated with this item.
Collection:
Division of Electronics & Information System2. Conference Papers


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