Persian Speech Emotion Recognition Approach based on Multilayer Perceptron

Hoseini, Seyed Mehdi Persian Speech Emotion Recognition Approach based on Multilayer Perceptron. International Journal of Digital Content Management, 2021, vol. 2, n. 3, pp. 177-187. [Journal article (Paginated)]

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English abstract

The present paper is focused on the study of pre-service student’s attitude towards use of helpful technology in teaching learning process. A descriptive and survey method was used for the study. The sample consists of 150 pre-service students at B.ED and M.ED levels in the Department of Education, Aligarh Muslim University, Aligarh. Out of 150 BED and MED students 69 were male and the rest female. We adapted tools from the research work of Abani Gwanshak Shikded and Theresa Ledger and further the tools were modified according to the objective of the study. We developed a tool by ourselves to measure attitude of pre- service student’s towards use of helpful technology in teaching learning process to disabled children. The data was tabulated and systematically analyzed, with the help of the Microsoft Excel. The data was fed in the Excel sheet and then analyzed using operations like converting the data into percentage, addition etc. and interpreted on the basis of objectives of the study. We took five types of helpful technology for various disabilities, namely, helpful technology for “visually impaired, reading impaired, hearing impaired, writing impaired and mathematically impaired” . The major findings of the study revealed that majority of the students are aware of helpful technology but they are not skilled in using helpful technology in teaching learning process and also majority of the pre-service students have favourable attitude towards the use of helpful technology in teaching learning process.

Item type: Journal article (Paginated)
Keywords: Emotion Recognition, Speech Processing, LPC Coefficients, Neural Network.
Subjects: I. Information treatment for information services
I. Information treatment for information services > IB. Content analysis (A and I, class.)
Depositing user: Mr Saeed Asgharzadeh
Date deposited: 25 Dec 2023 09:44
Last modified: 25 Dec 2023 09:44
URI: http://hdl.handle.net/10760/45089

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