Biometrik Suara Dengan Transformasi Wavelet Berbasis Orthogonal Daubenchies  

Oleh:

Agustini, Ketut

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Gematek: Jurnal Teknik Komputer vol. 9 no. 2 (Sep. 2007), page 49-56.
Topik: Wavelet; Voice Biometric; Wavelet Transformation; Orthogonal Daubenchies; NNW; Decomposition Rate

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: GG6.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Biometric as one of identification or recognition person techiques that based on uniquely part of human body. Voice one of uniquely human has. Voice signal that come out from different speakers give different voice pattern. Because of high variations used neural network (NNW) for matching the patterns. Before voice data is processed using NNW it's processed using digital processed through feature extraction phase using discrit wavelet orthogonal base 4 orders with 10 and 15 decomposition rate. The result of NNW is processed by model decision maker that determine speaker identification. The result of experiment shows system biometric built can identify as high as 86 %.

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