baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features/Features (machine learning)/Speech processing
Raw Features: Waveform amplitudes, signal energy.
Engineered Features: Mel-frequency cepstral coefficients (MFCCs), spectrogram data, pitch.
Context: In speech recognition, MFCCs are features extracted to characterize the audio signal.
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