Speech Emotion Recognition using Python
The aim of this project is to detect emotions which is expressed by the person while speaking. These days emotion speech detection has become a essential task. The speech which is anger, fear, joy or have wider and higher range in pitch whereas pitch in low range. Machine Human Interactions is useful in assisting of detection of speech emotion. In this project we are using different classification algorithms to recognize person emotion like Support Vector Machine, Multi-layer perception and audio feature MEL, MFCC, chroma, Tonnetz were used. These models have been trained to recognize these emotions of person(Happy, Sad, Angry, Disgust, Fearful, Calm, Neutral, Surprise). This model will gave accuracy of 86.5% and testing it with the input audio will get same.
Project Working of Speech Emotion Recognition using Deep Learning:-
The most natural and easy ways for humans to communicate is through speech. It is tricky to annotate audio and difficult to analyze person sentiment because emotions are subjective. Speech qualities are more helpful in identifying between various emotions and if they are unclear this is the most challenging is to identify an emotion from speaker speech. A variety of dataset for speech emotion, its modelling and they are accessible and they determine in style of speech. After feature extraction, the classification of speech emotion is crucial component so in this project we introduced ANN Model ( Artificial Neural Networks) that is utilized to distinguish emotions such as happy, neutral, sad, angry, fear, disgusts and surprise.
This project is developed using python programming language and Tkinter is used for creating User Interface. User have to run python code through any editor and Home page will open where few option is there below mentioned:-
1. Import Audio:- In this option user have to browse any audio from system and recognize person emotion through voice.
2. Record Audio:- In this feature person have to record their own audio and model will analyze the person emotion through audio records.
3. Detect the Emotion in selected audio clip:- From this option user can detect emotions from above two buttons.
4. About Software:- This option will gave detail explanation of project.
5. About Developer: In this page you can provide your teammates details.
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
☎️ Contact Us For More Queries:-
📲 Call/WhatsApp: +91-9460060699
🌎 Website: www.techieprojects.com
📺 Instagram: @pythonprojects_
💡 Checkout Related Projects:-
1. Android App:- Click Here
2. Java Projects:- Click Here
3. OpenCV Projects:- Click Here
4. Data Science Projects:- Click Here
5. Data Analytics Projects:- Click Here
5. Deep Learning Projects:- Click Here
6. Cyber Security Projects:- Click Here
7. Machine Learning Projects:- Click Here
8. Image Processing Projects:- Click Here
9. Web Development Projects:- Click Here
10. Game Development Projects:- Click Here
11. Artificial Intelligence Projects:- Click Here
12. Database Management System:- Click Here