emotion detection using speech recognition

Emotion Detection using Speech Recognition was a technology that extract emotional feature from speech signals by computer and contrasts and analyses the characteristic parameters and the emotional change acquired. Speech is the most natural way of expressing ourselves as humans. Systems for text-ba

Project Title

emotion detection using speech recognition

Project Area of Specialization

Artificial Intelligence

Project Summary

Emotion Detection using Speech Recognition was a technology that extract emotional feature from speech signals by computer and contrasts and analyses the characteristic parameters and the emotional change acquired. Speech is the most natural way of expressing ourselves as humans. Systems for text-based emotions are commonly used but speech recognition system is still not commonly used and proposed system will work on Speech recognition for emotion detection

Project Objectives

The main objective of employing (ser) Speech Emotion Recognition is to adapt the system response upon detecting frustration, annoyance and other emotion in speaker or customers voice. Emotion recognition is the process of identifying human emotion

Project Implementation Method

1.Raw data of any lenght 

2.reduce noices 

3.extract feature 

4.prediction

Benefits of the Project

1. Improve Customer Service

2. Develop Quality Products

3. Discovering New Marketing Strategies

4. Improve Media Perceptions

Technical Details of Final Deliverable

 natural language processing 

machine learning algorithms

Final Deliverable of the Project

Software System

Core Industry

Telecommunication

Other Industries

Others

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Quality Education

Required Resources

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