"Before extracting features from a frame of audio, we first multiply the frame by a window, such as the Hamming window pictured below, to reduce artifacts caused by the edges of the frame."
"Mel-frequency cepstral coefficients (MFCCs) are a set of features that describe the coarse overall shape of a spectrum but not the fine harmonic structure. MFCCs are often used to describe the timbre of a musical signal."
"\u001b[1;32m<ipython-input-1-1b09dbaf5c19>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m energy = array([centroid(spectrum(hamming_window(frame)))\n\u001b[1;32m----> 7\u001b[1;33m for frame in FrameGenerator(x, frameSize=2048, hopSize=1024)])\n\u001b[0m\u001b[0;32m 8\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 9\u001b[0m \u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0menergy\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
]
"\u001b[1;31mNameError\u001b[0m: name 'x' is not defined"