{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "AUDIO_FILE = '/app/suno/data/audio_v0/audio_16khz_train.bin'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MFCC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# cant compute all mfccs at once, so we need to do it in batches\n",
    "\n",
    "import numpy as np\n",
    "import torch\n",
    "\n",
    "audio = np.memmap('audio.mmap', dtype='float32', mode='r', shape=(1000000, 1))"
   ]
  }
 ],
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