Speech Emotion Recognition using Deep Learning | IEEE Projects for Computer Science 2024

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  • เผยแพร่เมื่อ 7 ก.ย. 2024
  • 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.
    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.
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