Sound-event classification for robot hearing
Sound event classification is one of the hot topics attracting a lot of researches on different methods of achieving it. Environmental sound classifications are useful in surveillances and in robots hearings. There are multiple ways to classify the sound events and in this paper, machine learning me...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/140482 |
| _version_ | 1811695206308773888 |
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| author | Khine, Su Wai |
| author2 | Jiang Xudong |
| author_facet | Jiang Xudong Khine, Su Wai |
| author_sort | Khine, Su Wai |
| collection | NTU |
| description | Sound event classification is one of the hot topics attracting a lot of researches on different methods of achieving it. Environmental sound classifications are useful in surveillances and in robots hearings. There are multiple ways to classify the sound events and in this paper, machine learning method using MatLab is implemented. The model is built and trained and have achieved the accuracy rate of 85%. |
| first_indexed | 2024-10-01T07:19:47Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/140482 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:19:47Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1404822023-07-07T18:46:10Z Sound-event classification for robot hearing Khine, Su Wai Jiang Xudong School of Electrical and Electronic Engineering EXDJiang@ntu.edu.sg Engineering::Electrical and electronic engineering Sound event classification is one of the hot topics attracting a lot of researches on different methods of achieving it. Environmental sound classifications are useful in surveillances and in robots hearings. There are multiple ways to classify the sound events and in this paper, machine learning method using MatLab is implemented. The model is built and trained and have achieved the accuracy rate of 85%. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-29T07:53:07Z 2020-05-29T07:53:07Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140482 en P3046-182 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Khine, Su Wai Sound-event classification for robot hearing |
| title | Sound-event classification for robot hearing |
| title_full | Sound-event classification for robot hearing |
| title_fullStr | Sound-event classification for robot hearing |
| title_full_unstemmed | Sound-event classification for robot hearing |
| title_short | Sound-event classification for robot hearing |
| title_sort | sound event classification for robot hearing |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/140482 |
| work_keys_str_mv | AT khinesuwai soundeventclassificationforrobothearing |