Starting to work on aligning audio

notebooks/Audio Alignment.ipynb

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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Audio Alignment for Harmonix Set\n",
+ "\n",
+ "This notebook tries to align purchased audio with original audio from Harmonix. \n",
+ "\n",
+ "More specifically, for each pair of audio files:\n",
+ "- Load both audio files\n",
+ "- Use DTW to find the correct start and end points of alignment\n",
+ "- Produce the new aligned mp3s from the purchased audio"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from __future__ import print_function\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "import librosa\n",
+ "from librosa import display\n",
+ "\n",
+ "ORIG_MP3_PATH = \"/home/uri/Projects/\"\n",
+ "PURC_MP3_PATH = \"/home/uri/Dropbox/drop/HarmonixMP3_YouTube/\"\n",
+ "SR = 22050\n",
+ "\n",
+ "%matplotlib inline"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Load audio\n",
+ "_1, fs = librosa.load('audio/sir_duke_slow.mp3')\n",
+ "plt.figure(figsize=(16, 4))\n",
+ "librosa.display.waveplot(x_1, sr=fs)\n",
+ "plt.title('Slower Version $X_1$')\n",
+ "plt.tight_layout()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.0"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}