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Multisource Speech Analysis for Speaker Recognition

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Abstract

On a comprehensive speech database, speaker recognition characteristics are compared under the usage of various voice-source models. Inverse problems to find a source via vowel speech segments are solved on the base of a special speech-production model and voice-source models (A-source, piecewise-linear source, nonparametric source, and source found by means of the spectral relation method). In the first stage, we find the pulses such that the relative residuals of their segmented and their theoretical analogs computed by means of the speech-production model are less than 0.25. For the selected pulses, a posteriori estimates of the error of their determining are computed and the final selection of the source pulses is performed: for the recognition procedure, we leave only pulses with a posteriori estimates of the error less than the accepted level 0.3. In the space of parameters found for each source model, a statistical model is created for each speaker and the recognition is performed. For the speaker recognition with respect to one vowel, the mean error is approximately equal to 66% for the piecewise-linear source, 61% for the spectral relation method, and 33% for the A-source.

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Authors and Affiliations

  1. Institute for Information Transmission Problems, Russian Academy of Sciences, Bol’shoi Karetnyi per. 19, Moscow, 127994, Russia

    V. N. Sorokin

  2. National Research Nuclear University MEPhI, Kashirskoe sh. 31, Moscow, 115409, Russia

    A. S. Leonov

Authors
  1. V. N. Sorokin
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  2. A. S. Leonov
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Correspondence to V. N. Sorokin or A. S. Leonov.

Additional information

Viktor Nikolaevich Sorokin. Born in 1938. Graduated from the Moscow Aviation Institute in 1963. Senior Research Fellow at the Institute for Information Transmission Problems of the Russian Academy of Sciences, Doctor of Physical and Mathematical Sciences. Author of three monographs (Theory of Speech Production, 1985; Speech Synthesis, 1992; Speech Processes, 2012) and more than 150 scientific papers. Scientific interests: the theory of speech production, automatic speech and speaker recognition, and speech synthesis.

Aleksandr Sergeevich Leonov. Born in 1948. Graduated from Moscow State University in 1972. Received candidate’s degree in 1975 and doctoral degree in 1988. Professor of the National Research Nuclear University (MEPhI). Scientific interests: mathematical physics, mathematical modeling, and methods for solving inverse and ill-posed problems. Author of three books and more than 140 scientific papers.

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Sorokin, V.N., Leonov, A.S. Multisource Speech Analysis for Speaker Recognition. Pattern Recognit. Image Anal. 29, 181–193 (2019). https://doi.org/10.1134/S1054661818040260

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