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1 Glossary
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2 ========
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3
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4 .. glossary::
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5
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6 time series
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7 Typically an audio signal, denoted by ``y``, and represented as a
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8 one-dimensional *numpy.ndarray* of floating-point values. ``y[t]``
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9 corresponds to amplitude of the waveform at sample ``t``.
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10
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11 sampling rate
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12 The (positive integer) number of samples per second of a time series.
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13 This is denoted by an integer variable ``sr``.
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14
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15 frame
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16 A short slice of a :term:`time series` used for analysis purposes. This
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17 usually corresponds to a single column of a spectrogram matrix.
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18
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19 window
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20 A vector or function used to weight samples within a frame when computing
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21 a spectrogram.
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22
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23 frame length
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24 The (positive integer) number of samples in an analysis window (or
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25 :term:`frame`).
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26 This is denoted by an integer variable ``n_fft``.
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27
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28 hop length
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29 The number of samples between successive frames, e.g., the columns
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30 of a spectrogram. This is denoted as a positive integer ``hop_length``.
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31
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32 window length
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33 The length (width) of the window function (e.g., Hann window). Note that this
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34 can be smaller than the :term:`frame length` used in a short-time Fourier
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35 transform. Typically denoted as a positive integer variable ``win_length``.
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36
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37 spectrogram
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38 A matrix ``S`` where the rows index frequency bins, and the columns index
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39 frames (time). Spectrograms can be either real-valued or complex-valued. By
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40 convention, real-valued spectrograms are denoted as *numpy.ndarray*\ s ``S``,
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41 while complex-valued STFT matrices are denoted as ``D``.
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42
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43 onset (strength) envelope
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44 An onset envelope ``onset_env[t]`` measures the strength of note onsets at
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45 frame ``t``. Typically stored as a one-dimensional *numpy.ndarray* of
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46 floating-point values ``onset_envelope``.
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47
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48 chroma
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49 Also known as pitch class profile (PCP). Chroma representations measure the
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50 amount of relative energy in each pitch class (e.g., the 12 notes in the
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51 chromatic scale) at a given frame/time.
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