An Experiment of Sound Recognition using Machine Learning

Young Jin Park; Hui Sup Cho

doi:10.1109/ICCE-Asia49877.2020.9277368

An Experiment of Sound Recognition using Machine Learning

Young Jin Park
, Hui Sup Cho

Division of Electronics & Information System

DGIST

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728161648
DOIs	https://doi.org/10.1109/ICCE-Asia49877.2020.9277368
State	Published - 1 Nov 2020
Event	2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 - Seoul, Korea, Republic of Duration: 1 Nov 2020 → 3 Nov 2020

Publication series

Name	2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020

Conference

Conference	2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
Country/Territory	Korea, Republic of
City	Seoul
Period	1/11/20 → 3/11/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

MFCC
Machine Learning
Sound recognition
UrbanSound8k

Access to Document

10.1109/ICCE-Asia49877.2020.9277368

Cite this

Park, Y. J., & Cho, H. S. (2020). An Experiment of Sound Recognition using Machine Learning. In 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 Article 9277368 (2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Asia49877.2020.9277368

@inproceedings{e474a8c5541b4522b6dc749cfa02a2cf,

title = "An Experiment of Sound Recognition using Machine Learning",

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.",

keywords = "MFCC, Machine Learning, Sound recognition, UrbanSound8k",

author = "Park, \{Young Jin\} and Cho, \{Hui Sup\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 ; Conference date: 01-11-2020 Through 03-11-2020",

year = "2020",

month = nov,

day = "1",

doi = "10.1109/ICCE-Asia49877.2020.9277368",

language = "English",

series = "2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Park, YJ & Cho, HS 2020, An Experiment of Sound Recognition using Machine Learning. in 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020., 9277368, 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020, Seoul, Korea, Republic of, 1/11/20. https://doi.org/10.1109/ICCE-Asia49877.2020.9277368

An Experiment of Sound Recognition using Machine Learning. / Park, Young Jin; Cho, Hui Sup.
2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9277368 (2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Park, Young Jin

AU - Cho, Hui Sup

PY - 2020/11/1

Y1 - 2020/11/1

N2 - 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.

AB - 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.

KW - MFCC

KW - Machine Learning

KW - Sound recognition

KW - UrbanSound8k

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U2 - 10.1109/ICCE-Asia49877.2020.9277368

DO - 10.1109/ICCE-Asia49877.2020.9277368

M3 - Conference contribution

AN - SCOPUS:85098848982

T3 - 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020

BT - 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020

Y2 - 1 November 2020 through 3 November 2020

ER -

An Experiment of Sound Recognition using Machine Learning

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this