Speech localization for Android devices
Acoustic source localization has emerged as an interesting area of research in the past years due to its applications in human tracking. In simple terms, the algorithm developed has the ability to track the source of sound. This dissertation is an attempt to adopt this application into an Android ba...
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| Format: | Thesis |
| Language: | English |
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2014
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| Online Access: | http://hdl.handle.net/10356/61630 |
| _version_ | 1811693138810503168 |
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| author | Das, Neetha |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Das, Neetha |
| author_sort | Das, Neetha |
| collection | NTU |
| description | Acoustic source localization has emerged as an interesting area of research in the past years due to its applications in human tracking. In simple terms, the algorithm developed has the ability to track the source of sound. This dissertation is an attempt to adopt this application into an Android based system. Since Android based systems are being widely used for a myriad number of applications and by a much larger population than the users of stand-alone electronic gadgets, adapting acoustic source localization to perform in this environment opens up flexibility and also accessibility to a larger audience. By bringing the algorithm to successfully perform on a Java based platform, this dissertation aims to bridge the gap between purely electronic implementations and the software based imple-mentations using the limited hardware available in an Android device. |
| first_indexed | 2024-10-01T06:46:55Z |
| format | Thesis |
| id | ntu-10356/61630 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:46:55Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/616302023-07-04T15:38:45Z Speech localization for Android devices Das, Neetha School of Electrical and Electronic Engineering Andy Khong Wai Hoong DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Acoustic source localization has emerged as an interesting area of research in the past years due to its applications in human tracking. In simple terms, the algorithm developed has the ability to track the source of sound. This dissertation is an attempt to adopt this application into an Android based system. Since Android based systems are being widely used for a myriad number of applications and by a much larger population than the users of stand-alone electronic gadgets, adapting acoustic source localization to perform in this environment opens up flexibility and also accessibility to a larger audience. By bringing the algorithm to successfully perform on a Java based platform, this dissertation aims to bridge the gap between purely electronic implementations and the software based imple-mentations using the limited hardware available in an Android device. Master of Science (Signal Processing) 2014-06-30T04:46:49Z 2014-06-30T04:46:49Z 2014 2014 Thesis http://hdl.handle.net/10356/61630 en 58 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Das, Neetha Speech localization for Android devices |
| title | Speech localization for Android devices |
| title_full | Speech localization for Android devices |
| title_fullStr | Speech localization for Android devices |
| title_full_unstemmed | Speech localization for Android devices |
| title_short | Speech localization for Android devices |
| title_sort | speech localization for android devices |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/61630 |
| work_keys_str_mv | AT dasneetha speechlocalizationforandroiddevices |