A Sound Source-based Intelligent Context Awareness System using CNN
| Autor: | Changmin Jeong, Gi Ho Nam, Tae-Wan Kim, Dong Myung Lee, Ho Chul Lee |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
geography geography.geographical_feature_category Computer science Microphone Speech recognition 02 engineering and technology Convolutional neural network 020901 industrial engineering & automation ComputerSystemsOrganization_MISCELLANEOUS TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS 0202 electrical engineering electronic engineering information engineering Context awareness 020201 artificial intelligence & image processing Sound (geography) |
| Zdroj: | ICAIIC |
| DOI: | 10.1109/icaiic48513.2020.9065195 |
| Popis: | A sound source-based intelligent context awareness system using convolutional neural network (CNN) is proposed and the sound recognition ratio was analyzes in this paper. The sound recognition rate was found to be proportional to the distance between the smartphone and the microphone. It is confirmed that the sound source is difficult to be detected when the distance between the microphone and the sound source is far greater than 1m on 1st experiment. However when the distance between the sound source and the microphone is 1m, the performance of the sound recognition rate is 40%-55% on 2nd experiment. |
| Databáze: | OpenAIRE |
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