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A classification task is performed over a dataset of recorded voice commands to understand the action requested by the user. In voice analysis, using spectral flatness helped remove poorly recorded signals. Extracting features in both the time and frequency domain with Mel's spectrogram and coefficients produced promising results.

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LorMart/Speech-Intent-Classification

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A classification task is performed over a dataset of recorded voice commands to understand the action requested by the user. In voice analysis, using spectral flatness helped remove poorly recorded signals. Extracting features in both the time and frequency domain with Mel's spectrogram and coefficients produced promising results.

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