Speaker identification based on hybrid feature extraction techniques
One of the most exciting areas of signal processing is speech processing; speech contains many features or characteristics that can discriminate the identity of the person. The human voice is considered one of the important biometric characteristics that can be used for person identification. Th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
The Science and Information Organization
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/72390/1/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques.pdf http://irep.iium.edu.my/72390/2/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques%20SCOPUS.pdf http://irep.iium.edu.my/72390/13/72390_Speaker%20Identification%20based%20on%20Hybrid%20Feature%20Extraction%20Techniques_wos.pdf http://irep.iium.edu.my/72390/ https://thesai.org/Downloads/Volume10No3/Paper_42-Speaker_Identification_based_on_Hybrid_Feature.pdf |
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http://irep.iium.edu.my/72390/1/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques.pdfhttp://irep.iium.edu.my/72390/2/72390%20Speaker%20identification%20based%20on%20hybrid%20feature%20extraction%20techniques%20SCOPUS.pdf
http://irep.iium.edu.my/72390/13/72390_Speaker%20Identification%20based%20on%20Hybrid%20Feature%20Extraction%20Techniques_wos.pdf
http://irep.iium.edu.my/72390/
https://thesai.org/Downloads/Volume10No3/Paper_42-Speaker_Identification_based_on_Hybrid_Feature.pdf