Romanian Journal of Information Science and Technology (ROMJIST)

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ROMJIST is a publication of Romanian Academy,
Section for Information Science and Technology

Editor – in – Chief:
Academician Dan Dascalu

Secretariate (office):
Adriana Neagu
Adress for correspondence: romjist@romjist.ro

Editing of the printed version: Mihaela Marian (Publishing House of the Romanian Academy, Bucharest)

Sponsor: National Institute
for R & D in Microtechnology
(IMT Bucharest)

ROMJIST Volume 20, No. 3, 2017, pp. 222-240, Paper no. 562/2017
 

Eduard FRANTI, Ioan ISPAS, Voichita DRAGOMIR, Monica DASCALU, Zoltan ELTETO, Ioan Cristian STOICA
Voice Based Emotion Recognition with Convolutional Neural Networks for Companion Robots

ABSTRACT: In order to obtain emotional-related response from robots, computers and other intelligent machines, the first and decisive step is accurate emotion recognition. This paper presents the implementation of this function using the deep learning model of Convolutional Neural Networks (CNN). The theoretical background that lays the foundation of the classification of emotions based on voice parameters is briefly presented. The architecture is an adaptation of an image processing CNN, programmed in Python using Keras model-level library and TensorFlow backend. According to the obtained results , the model achieves the mean accuracy of 71.33% for six emotions (happiness, fear, sadness, disgust, anger, surprise), which is comparable with performances reported in scientific literature. The original contributions of the paper are: the adaptation of the deep learning model for processing the audio files, the training of the CNN with a set of recordings in Romanian language and an experimental software environment for generating test files.

KEYWORDS: Voice Recognition, Emotion Recognition Convolutional Neural Networks, Companion Robots, pet robots

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