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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Remya, A.R. Sreekumar, A. | 
| Copyright Year | 2015 | 
| Description | Author affiliation: Dept. of Comput. Applic., Cochin Univ. of Sci. & Technol., Kochi, India (Remya, A.R.; Sreekumar, A.) | 
| Abstract | User authentication scheme in context of audio can be achieved by labeling the speech signal with key signal dependent physical features. The key features for the development of the label are identified by using the common classification schemes such as ANN, kNN and SVM. The relevant features are given as input to an online QR code generator to obtain the QR code which is employed as the watermark. Using the FWHT transform, speech signal is then labeled and the confirmation along with comparison at the receiving end guarantees speaker authentication. | 
| Starting Page | 1 | 
| Ending Page | 6 | 
| File Size | 290638 | 
| Page Count | 6 | 
| File Format | |
| e-ISBN | 9781479970759 | 
| DOI | 10.1109/ICCPCT.2015.7159355 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2015-03-19 | 
| Publisher Place | India | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Bit error rate Watermarking Transforms Audio watermarking Speaker recognition FeatureMark Speaker authentication Speech signal Authentication Signal processing Speech Feature extraction Recovery rate Robustness Fast Walsh Hadamard transform QR code Integrity | 
| Content Type | Text | 
| Resource Type | Article | 
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