REVIEW, STUDY & MODELLING OF NEURO-FUZZY SYSTEM, IT'S PERFORMANCE COMPARISION USING VARIOUS SPEECH DATABASES FOR RECOGNITION OF EMOTIONAL STATES
Journal of Critical Reviews · 2020
Objective Study and modelling of various Neural Network & Neuro Fuzzy System to determine best design solution for recognition of emotional states through human speech. Methods By performing test experiment on 3 different models using MFCC and other speech extraction technique on multiple databases. Database must include native language speech samples as well. Results As per above mentioned objective and method 76% (approx.) overall average recognition rate was achieved. Some significant experimental finding and observations were also recorded for further and future research.