Overview Developed a TinyML-based audio emotion recognition system that classifies dog emotions from barking audio recordings. The model uses MFCC-based feature extraction and a TensorFlow neural ...
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As shown in Figure 4a, the feature extraction using MFCC includes the steps such as pre-emphasis, framing the signal, windowing, Fast Fourier Transform (FFT), Mel-Filter Bank, Logarithm, Discrete ...
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