Digital audio forensics
In the research field of Digital Audio Forensics, many researches have been done in Speech Recognition, Speaker Recognition, Audio Enhancement, but only a few can be found in Speaker Environment Recognition. This is due to the diversity of the environment, and the complexity to analyse it. This p...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2011
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| Online Access: | http://hdl.handle.net/10356/44022 |
| _version_ | 1811690053397643264 |
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| author | Tran, Duy Thien. |
| author2 | Sabu Emmanuel |
| author_facet | Sabu Emmanuel Tran, Duy Thien. |
| author_sort | Tran, Duy Thien. |
| collection | NTU |
| description | In the research field of Digital Audio Forensics, many researches have been done in Speech Recognition, Speaker Recognition, Audio Enhancement, but only a few can be found in Speaker Environment Recognition. This is due to the diversity of the environment, and the complexity to analyse it.
This project investigates a method to analyse the speaker environment using MFCC and selected MPEG-7 audio descriptors. The author also studied and compared the results between several supervised and unsupervised classifiers like GMM, k-NN, Naïve Bayes, etc. used in the model to determine the best classifier. Other feature like Zero Crossing Rate was also investigated in the effort to improve the performance of the model. |
| first_indexed | 2024-10-01T05:57:53Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/44022 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:57:53Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/440222023-03-03T20:43:26Z Digital audio forensics Tran, Duy Thien. Sabu Emmanuel School of Computer Engineering Centre for Multimedia and Network Technology DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition In the research field of Digital Audio Forensics, many researches have been done in Speech Recognition, Speaker Recognition, Audio Enhancement, but only a few can be found in Speaker Environment Recognition. This is due to the diversity of the environment, and the complexity to analyse it. This project investigates a method to analyse the speaker environment using MFCC and selected MPEG-7 audio descriptors. The author also studied and compared the results between several supervised and unsupervised classifiers like GMM, k-NN, Naïve Bayes, etc. used in the model to determine the best classifier. Other feature like Zero Crossing Rate was also investigated in the effort to improve the performance of the model. Bachelor of Engineering (Computer Science) 2011-05-19T06:07:09Z 2011-05-19T06:07:09Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44022 en Nanyang Technological University 46 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Tran, Duy Thien. Digital audio forensics |
| title | Digital audio forensics |
| title_full | Digital audio forensics |
| title_fullStr | Digital audio forensics |
| title_full_unstemmed | Digital audio forensics |
| title_short | Digital audio forensics |
| title_sort | digital audio forensics |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition |
| url | http://hdl.handle.net/10356/44022 |
| work_keys_str_mv | AT tranduythien digitalaudioforensics |