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Speech Emotion Recognition using Machine Learning | Python Final Year IEEE Project

Speech Emotion Recognition using Machine Learning | Python Final Year IEEE Project. 🛒Buy Link: https://bit.ly/3YPctZd (or) To buy this project in ONLINE, Contact: 🔗Email: [email protected], 🌐Website: https://www.jpinfotech.org 📌Project Title: Speech Emotion Recognition using Machine Learning 💡Implementation Code: Python. 🚀Algorithm / Model Used: Artificial Neural Networks (ANN model). 🌐Web Framework: Flask. 🖥️Frontend: HTML, CSS, JavaScript. 💰Cost (In Indian Rupees): Rs.5000/. IEEE Base paper Abstract: The aim of the paper is to detect the emotions which are elicited by the speaker while speaking. Emotion Detection has become a essential task these days. The speech which is in fear, anger, joy have higher and wider range in pitch whereas have low range in pitch. Detection of speech is useful in assisting human machine interactions. Here we are using different classification algorithms to recognize the emotions , Support Vector Machine , Multi-layer perception, and the audio feature MFCC, MEL, chroma, Tonnetz were used. These models have been trained to recognize these emotions (Calm, neutral, surprise, happy, sad, angry, fearful, disgust). We got an accuracy of 86.5% and testing it with the input audio we get the same. REFERENCE: Kotikalapudi Vamsi Krishna, Navuluri Sainath, A. Mary Posonia, “Speech Emotion Recognition using Machine Learning”, 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), IEEE Conference, 2022. #python #pythonprojects #machinelearningproject #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorproject