Speech To Emotions Detection
Author(s):
Gayatri Ravjibhai Parmar
Keywords:
Voice Detection, Signal Processing, Mood identification, Machine Learning, Visualization
Abstract
Detection of mood and behavior by voice analysis which helps to detect the speaker’s mood by the voice frequency. Here, I aim to present the mood like happy, sad and behavior detection device using machine learning and artificial intelligence which can be detect by voice analysis. Using this device, it detects the user’s mood. Moreover, this device detects the frequency by trained model and algorithm. Algorithm is well trained to catch the frequency where it helps to identify the mood happy or sad of the speaker and behavior. On the other hand, behavior can be predicting in form, it can be either positive or negative. So, this device helps to prevent mental health issues and used in medical and gaming testing. Furthermore, it is easy to identify person’s mood by their expression and by their actions on daily activities. But it is effective challenge to detect mood and behavior by voice frequency because rich environment affects the most. Thus, this device works as signal processing. Moreover, Machine learning, Data visualization and Data warehousing helps to discover the concepts and installation of database, while machine learning used to train the model and data visualization represent effective visualization of overall result from the data. Thus, these modules help to develop the basic and advanced concepts as well as research for this project
Article Details
Unique Paper ID: 151653

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 462 - 468
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