Evaluation of implicit emotion in the message through emotional speech processing based on Mel-Frequency Cepstral Coefficient and Short-Time Fourier Transform features | Zendy

Mahsa Ravanbakhsh | Zendy; Saeed Setayeshi | Zendy; Mir Mohsen Pedram | Zendy; Azadeh Mirzaei | Zendy

Open Access

Evaluation of implicit emotion in the message through emotional speech processing based on Mel-Frequency Cepstral Coefficient and Short-Time Fourier Transform features

Author(s) -

Mahsa Ravanbakhsh,

Saeed Setayeshi,

Mir Mohsen Pedram,

Azadeh Mirzaei

Publication year - 2020

Publication title -

advances in cognitive science

Language(s) - English

Resource type - Journals

eISSN - 2783-073X

pISSN - 1561-4174

DOI - 10.30699/icss.22.2.71

Subject(s) - cepstrum , mel frequency cepstrum , speech recognition , short time fourier transform , fourier transform , computer science , artificial intelligence , mathematics , fourier analysis , feature extraction , mathematical analysis

1. PhD Student of Cognitive Linguistics, Institute for Cognitive Science Studies (ICSS), Tehran, Iran 2. Associate Professor of Department of Physics and Energy Engineering, Amirkabir University of Technology, Tehran, Iran 3. Associate Professor, Department of Electrical and Computer Engineering, Kharazmi University, Tehran, Iran 4. Assistant Professor of Linguistics, Department of Linguistics, Faculty of Persian Literature and Foreign Languages, Allameh Tabataba’i University, Tehran, Iran

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