Speech Recognition System
This project implements a Speech Emotion Recognition system using Mel-Frequency Cepstral Coefficients (MFCCs) and Deep Learning. The goal is to classify emotions from speech audio data by extracting acoustic features and training neural networks to recognize emotional patterns.
This package provides various tools for calculating the cepstral coefficients of time series and clustering them in Julia.
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