Created
May 28, 2018 05:56
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy as np\n", | |
| "import librosa\n", | |
| "import librosa.display\n", | |
| "\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "%matplotlib inline\n", | |
| "plt.rcParams['figure.figsize'] = (13, 5)\n", | |
| "from IPython.display import display, Audio" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# we use your/path/to/Rumba-Misc/Media-103511.wav as the example;\n", | |
| "# change '/home/yjluo/dataset/' to your path to BallroomData\n", | |
| "path_audio = '/home/yjluo/dataset/BallroomData/Rumba-Misc/Media-103511.wav'" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# set some parameters \n", | |
| "n_fft = 2048 # the FFT length\n", | |
| "hop_len = 256 # the hop size for FFT\n", | |
| "\n", | |
| "x, sr = librosa.load(path_audio) # load the audio using librosa.load()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <audio controls=\"controls\" >\n", |
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