Speaker Identification Using Discrete Wavelet Transform
Shanthini Pandiaraj1 & K. R. Shankar Kumar2 Show affiliations
- Karunya University, India
- , India
Journal of Computer Science, Volume 11, Issue 1, pp. 53–56 · doi.org/10.3844/jcssp.2015.53.56
Abstract
This study presents an experimental evaluation of Discrete Wavelet Transforms for use in speaker identification. The features are tested using speech data provided by the CHAINS corpus. This system consists of two stages: Feature extraction stage and the identification stage. Parameters are extracted and used in a closed-set text-independent speaker identification task. In this study the signals are pre-processed and features are extracted using discrete wavelet transforms. The energy of the wavelet coefficients are used for training the Gaussian Mixture Model. Daubechies wavelets are used and the speech samples are analyzed using 8 levels of decomposition.
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Pandiaraj, S. & Kumar, K. R. S. (2015). Speaker Identification Using Discrete Wavelet Transform. Journal of Computer Science, 11(1), 53–56. https://doi.org/10.3844/jcssp.2015.53.56
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