TY - JOUR AU - Powroźnik, Paweł AU - Czerwiński, Dariusz PY - 2017/12/21 Y2 - 2024/03/28 TI - THE IMPACT OF WINDOW FUNCTION ON IDENTIFICATION OF SPEAKER EMOTIONAL STATE JF - Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska JA - IAPGOS VL - 7 IS - 4 SE - Articles DO - 10.5604/01.3001.0010.7371 UR - https://ph.pollub.pl/index.php/iapgos/article/view/1263 SP - 96-100 AB - <p>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%.</p> ER -