Application of Speech Emotion Recognition in Intelligent Household Robot

Huahu Xu · Jue Gao · Jian Li Yuan

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Emotion and Mood Recognition Speech Recognition and Synthesis Speech and Audio Processing

Abstract

This thesis aims to perform categorized recognition of 5 speech emotions as represented by joy, grief, anger, fear and surprise by means of algorithm with the combination of HMM and SOFMNN models so as to apply speech emotion recognition methods presented by integrated HMM/SOFMNN model to the platform of intelligent household robot. In this way, robot can recognize emotional information as contained in the human speech signals for friendly interaction with human beings, and eventually satisfactory performance and effect are realized.

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References

2001Emotion recognition in human-computer interaction 2003How to find trouble in communication

Cited by

2020A Speech Emotion Recognition Solution-based on Support Vector Machine for Children with Autism Spectrum Disorder to Help Identify Human Emotions 2021A Novel Heterogeneous Parallel Convolution Bi-LSTM for Speech Emotion Recognition

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