Preprocessing signal for Speech Emotion Recognition | Zendy

Bashar M. Nema | Zendy; Ahmed A. Abdul-Kareem | Zendy

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Preprocessing signal for Speech Emotion Recognition

Author(s) -

Bashar M. Nema,

Ahmed A. Abdul-Kareem

Publication year - 2018

Publication title -

al-mustansiriyah journal of science

Language(s) - English

Resource type - Journals

eISSN - 2521-3520

pISSN - 1814-635X

DOI - 10.23851/mjs.v28i3.48

Subject(s) - preprocessor , speech recognition , signal (programming language) , computer science , feature extraction , sampling (signal processing) , feature (linguistics) , sample (material) , pattern recognition (psychology) , voice activity detection , artificial intelligence , speech processing , linguistics , computer vision , philosophy , chemistry , chromatography , programming language , filter (signal processing)

In this paper, we introduce and study preprocessing signal for speech emotion recognition. The aim of our work is to get pure signal which is created by sampling the signal from speaker. The discrimination between speech and music waves was achieved. A good signal is obtained by using preprocessing then it used for feature extraction. The files we used in this paper are wave-type for male, female and music have sample rate 48000, bit resolution is 16-bits and Mono channel. The Berlin dataset and RAVDESS dataset are used in this work.

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