Polina P. Tkachova

Affiliations:
  • Belarusian State University, Minsk, Belarus


According to our database1, Polina P. Tkachova authored at least 10 papers between 1999 and 2003.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.

Timeline

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Bibliography

2003
Algorithm of phoneme identification using fast measurement of Wiener kernels of speech signals.
Proceedings of the Third International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2003

Distinguishing and recognition of pathological speech based on estimation of control parameter of chaotic attractor.
Proceedings of the Third International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2003

Investigation of Geometric Shapes of Hydrodynamic Structures for Identification of Dynamical States of Convective Liquid.
Proceedings of the Computational Science and Its Applications, 2003

2001
Fast algorithms for Wiener kernels computing in speech phoneme recognition.
Proceedings of the Second International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2001

On algorithm for phoneme speech recognition using nonlinear signal decomposition.
Proceedings of the 2001 8th IEEE International Conference on Electronics, 2001

2000
Nonlinear signal decomposition into functional series for speech recognition: A new approach.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
The use of nonlinear filtering for the problem of voice variability solving.
Proceedings of the International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 1999

The nonlinear signal decomposition in voice recognition system constructing.
Proceedings of the International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 1999

Autoregressive hidden Markov model for applied tasks of vocal fold pathology detection.
Proceedings of the International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 1999

The analysis of speaker individual features based on autoregressive hidden Markov models.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999


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