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
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
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Data set | Equipment | 2 | 8000 | 16000 |
| API | Equipment | 1 | 3000 | 3000 |
| python liberary | Equipment | 3 | 2000 | 6000 |
| Total in (Rs) | 25000 |
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