Speaker recognition application
Today, “portable” has become a more and more important concept in the world. With this trend, Android, as an open-source operating system is the world’s most widely used smartphone platform now. The Voice Recognition technology, which has a history of almost four decades, has been applied in many st...
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sg-ntu-dr.10356-524992023-03-03T20:42:15Z Speaker recognition application Li, Yao Dong. Chng Eng Siong School of Computer Engineering Emerging Research Lab DRNTU::Engineering Today, “portable” has become a more and more important concept in the world. With this trend, Android, as an open-source operating system is the world’s most widely used smartphone platform now. The Voice Recognition technology, which has a history of almost four decades, has been applied in many stages, such as health care, military etc. In this report, I present a voice collection software application which runs on PC and android devices, and I also created a feature extraction application which runs on android platform. To achieve these, android and .NET environment are required. This project aims to do the preparation works in order to test the accuracy of the voice recognition algorithm. The voice collection software is an efficient tool to collect a large number of people’s voices as samples and organize these data for the future research. The feature extraction application is to extract feature the from wav file. It’s an essential step before calculating the likelihood ratio of the testing speech. Bachelor of Engineering (Computer Science) 2013-05-15T02:27:58Z 2013-05-15T02:27:58Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52499 en Nanyang Technological University 43 p. application/pdf |
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DRNTU::Engineering Li, Yao Dong. Speaker recognition application |
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Today, “portable” has become a more and more important concept in the world. With this trend, Android, as an open-source operating system is the world’s most widely used smartphone platform now. The Voice Recognition technology, which has a history of almost four decades, has been applied in many stages, such as health care, military etc.
In this report, I present a voice collection software application which runs on PC and android devices, and I also created a feature extraction application which runs on android platform. To achieve these, android and .NET environment are required.
This project aims to do the preparation works in order to test the accuracy of the voice recognition algorithm. The voice collection software is an efficient tool to collect a large number of people’s voices as samples and organize these data for the future research. The feature extraction application is to extract feature the from wav file. It’s an essential step before calculating the likelihood ratio of the testing speech. |
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Chng Eng Siong |
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Chng Eng Siong Li, Yao Dong. |
format |
Final Year Project |
author |
Li, Yao Dong. |
author_sort |
Li, Yao Dong. |
title |
Speaker recognition application |
title_short |
Speaker recognition application |
title_full |
Speaker recognition application |
title_fullStr |
Speaker recognition application |
title_full_unstemmed |
Speaker recognition application |
title_sort |
speaker recognition application |
publishDate |
2013 |
url |
http://hdl.handle.net/10356/52499 |
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1759854121146384384 |