Factorization of processes parametric spectra on the base of multiplicative linear prediction polymodels

Kudriavtseva, Nataliia V.

doi:10.1109/radioelek.2014.6828478

Cited by 4 publications

(2 citation statements)

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“…Therefore, we can observe the stable spectrum shape for each speaker and perceptibly differencespectra characteristics for different speakers. For the effective spectrum spikes' frequencies calculationwe are proposing to use the factorization multimode parametric spectra method (Kudriavtseva. 2014) for a speech signal created by the authors.…”

Section: Introductionmentioning

confidence: 99%

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Speaker Verification Using Autoregressive Spectrum of Speech Signal in Composite Vector Stochastic Processes Model Representation

Chmelarova¹

2019

JMCMS

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This paper deals with the speaker verification system similar to a fingerprint or an eye scanner. For these purpose a long-term words' model and its spectral characteristics were used. The speaker verification method uses the word's sound parametric spectrum factorization in composite vector stochastic process representation based on the multiplicative autoregressive model. The developed method enables to receive the words' features with stable characteristics for the same speaker and differ for different speakers. During the training phase speaker's etalon frequencies has to be estimated for a pronounced word repeated several times. In the verification phase a speaker pronouncing the same word, word's frequencies are estimated and compared with the etalon frequencies database to find the best match or his deny. The results presented in the paper showed the high correct identification probability.

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Section: Introductionmentioning

confidence: 99%

“…2014) for a speech signal created by the authors. In this casethe multimode parametric spectra it is presented by the set of single-mode spectra (Kudriavtseva et al 2012). For the spike frequencies calculation the autoregressive model coefficients describing a parametric spectrum of a single-mode spectra are used.…”

Section: Introductionmentioning

confidence: 99%