Voice impersonation detection using LSTM based RNN and explainable AI
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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Brac University
2022
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| Online pristup: | http://hdl.handle.net/10361/16789 |
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10361-16789 |
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10361-167892022-06-01T21:02:51Z Voice impersonation detection using LSTM based RNN and explainable AI Barua, Kawshik Rahim, Abdur Parizat, Prantozit Saha Noor, Md.Asad Uzzaman Jannah, Miftahul Alam, Md.Golam Rabiul Department of Computer Science and Engineering, Brac University Deepfakes Voice impersonation detection LSTM based RNN Feature extraction SVM LIME Explainable AI Artificial intelligence Machine learning Automatic speech recognition. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 33-35). The advancing eld of arti cial synthetic media introduced deepfakes which made it easier to synthesize a person's voice, identical to their original voice mechanically to use it for negative means. People's voices are exposed to public as it is a pro - cient and more convenient media of exchanging information over various mediums, entertainment, speech delivering, news reading and so on, making it easier to collect voice samples for creating fake yet almost identical voice samples to trick people. So it has become vital to prevent this crime which led us to do this research paper for saving the victims of voice impersonation attacks where we used LSTM based RNN model in order to distinguished between real and synthesize voice.Furthermore, to compare the results we got from the mentioned process, we build a SVM classi er and nally we've explained the predicted outputs(fake or real) of both LSTM and SVM model by using an Explainable AI method named LIME. Our research resulted in 98.33% accuracy rate through our proposed model and very low percentage of error in detecting fake/synthesized voices. Kawshik Barua Abdur Rahim Prantozit Saha Parizat Md.Asad Uzzaman Noor Miftahul Jannah B. Computer Science 2022-06-01T07:56:00Z 2022-06-01T07:56:00Z 2021 2021-10 Thesis ID 17201034 http://hdl.handle.net/10361/16789 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 35 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Deepfakes Voice impersonation detection LSTM based RNN Feature extraction SVM LIME Explainable AI Artificial intelligence Machine learning Automatic speech recognition. |
| spellingShingle |
Deepfakes Voice impersonation detection LSTM based RNN Feature extraction SVM LIME Explainable AI Artificial intelligence Machine learning Automatic speech recognition. Barua, Kawshik Rahim, Abdur Parizat, Prantozit Saha Noor, Md.Asad Uzzaman Jannah, Miftahul Voice impersonation detection using LSTM based RNN and explainable AI |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Alam, Md.Golam Rabiul |
| author_facet |
Alam, Md.Golam Rabiul Barua, Kawshik Rahim, Abdur Parizat, Prantozit Saha Noor, Md.Asad Uzzaman Jannah, Miftahul |
| format |
Thesis |
| author |
Barua, Kawshik Rahim, Abdur Parizat, Prantozit Saha Noor, Md.Asad Uzzaman Jannah, Miftahul |
| author_sort |
Barua, Kawshik |
| title |
Voice impersonation detection using LSTM based RNN and explainable AI |
| title_short |
Voice impersonation detection using LSTM based RNN and explainable AI |
| title_full |
Voice impersonation detection using LSTM based RNN and explainable AI |
| title_fullStr |
Voice impersonation detection using LSTM based RNN and explainable AI |
| title_full_unstemmed |
Voice impersonation detection using LSTM based RNN and explainable AI |
| title_sort |
voice impersonation detection using lstm based rnn and explainable ai |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/16789 |
| work_keys_str_mv |
AT baruakawshik voiceimpersonationdetectionusinglstmbasedrnnandexplainableai AT rahimabdur voiceimpersonationdetectionusinglstmbasedrnnandexplainableai AT parizatprantozitsaha voiceimpersonationdetectionusinglstmbasedrnnandexplainableai AT noormdasaduzzaman voiceimpersonationdetectionusinglstmbasedrnnandexplainableai AT jannahmiftahul voiceimpersonationdetectionusinglstmbasedrnnandexplainableai |
| _version_ |
1814309054298718208 |