WPŁYW FUNKCJI OKNA NA SKUTECZNOŚĆ IDENTYFIKACJI STANU EMOCJONALNEGO MÓWCY

Paweł Powroźnik; Dariusz Czerwiński

doi:10.5604/01.3001.0010.7371

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Published: Dec 21, 2017

DOI: https://doi.org/10.5604/01.3001.0010.7371

Issue Vol. 7 No. 4 (2017)

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THE IMPACT OF WINDOW FUNCTION ON IDENTIFICATION OF SPEAKER EMOTIONAL STATE
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DOI

https://doi.org/10.5604/01.3001.0010.7371

Authors

Paweł Powroźnik

pawel.powroznik@pollub.edu.pl

Politechnika Lubelska, Instytut Informatyki, Poland

Dariusz Czerwiński

d.czerwinski@pollub.pl

Politechnika Lubelska, Instytut Informatyki, Poland

Abstract

The article presents the impact of window function used for preparing the spectrogram, on Polish emotional speech identification.. In conducted researches the following window functions were used: Hamming, Gauss, Dolph–Chebyshev, Blackman, Nuttall, Blackman-Harris. The spectrogram processing method by artificial neural network (ANN) was also described in this article. Obtained results allowed to assess the effectiveness of identification process with the use of ANN. The average efficiency ranged from 70 % to more than 87%.

Keywords:

window function, artificial neural networks, Polish emotional speech recognition

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Powroźnik, P., & Czerwiński, D. (2017). THE IMPACT OF WINDOW FUNCTION ON IDENTIFICATION OF SPEAKER EMOTIONAL STATE. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(4), 96–100. https://doi.org/10.5604/01.3001.0010.7371

THE IMPACT OF WINDOW FUNCTION ON IDENTIFICATION OF SPEAKER EMOTIONAL STATE

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