1.0-mic-preprocess-data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "This notebook loads the files as `AudioSegment`, trims silences, and writes them as mono-channel .wav at 16 kHz."
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "from os import walk\r\n",
    "from pydub import AudioSegment, effects\r\n",
    "from pydub.silence import detect_leading_silence\r\n",
    "from tqdm import tqdm"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "source": [
    "# %load_ext ipycache\r\n",
    "# %load_ext blackcellmagic"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "source": [
    "DISCOURSE_CONTEXT = {\r\n",
    "    \"aesdd\": False,\r\n",
    "    \"BAUM1\": False,\r\n",
    "    \"BAUM2\": True,\r\n",
    "    \"cafe\": False,\r\n",
    "    \"CREMA-D\": False,\r\n",
    "    \"dzafic\": False,\r\n",
    "    \"ekorpus\": False,\r\n",
    "    \"EmoDB\": False,\r\n",
    "    \"EmoReact_V_1.0\": True,\r\n",
    "    \"Emotional_EMA\": False,\r\n",
    "    \"EmoV-DB_sorted\": False,\r\n",
    "    \"enterface_db\": False,\r\n",
    "    \"esd\": False,\r\n",
    "    \"EYASE\": True,\r\n",
    "    \"jl-corpus\": False,\r\n",
    "    \"LimaCastroScott\": False,\r\n",
    "    \"LEGOv2\": True,\r\n",
    "    \"MAV\": False,\r\n",
    "    \"MELD\": True,\r\n",
    "    \"MESS\": False,\r\n",
    "    \"oreau2\": False,\r\n",
    "    \"ravdess\": False,\r\n",
    "    \"savee\": False,\r\n",
    "    \"ShEMO\": True,\r\n",
    "    \"tess\": False,\r\n",
    "    \"urdu\": True,\r\n",
    "    \"vivae\": False,\r\n",
    "}"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "IN_FOLDER = \"data/interim\"\r\n",
    "OUT_FOLDER = \"data/preprocessed\""
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "list_of_files = [file_ for _, _, files in walk(IN_FOLDER) for file_ in files]\r\n",
    "len(list_of_files)"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "87364"
      ]
     },
     "metadata": {},
     "execution_count": 5
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "datasets = set(DISCOURSE_CONTEXT.keys())\r\n",
    "samples = []\r\n",
    "# Take 1 sample from each dataset\r\n",
    "for file in list_of_files:\r\n",
    "    if (dataset_name := file.split(\"+\", maxsplit=2)[1]) in datasets:\r\n",
    "        datasets.remove(dataset_name)\r\n",
    "        samples.append(file.strip())\r\n",
    "    if not datasets:\r\n",
    "        break\r\n",
    "samples"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "['00000+aesdd+aesdd.1+f+ang+-1+ell+el-gr.wav',\n",
       " '00604+BAUM1+BAUM1.s001+m+ang+-1+tur+tr-tr.mp4',\n",
       " '01908+BAUM2+BAUM2.S002+m+con+-1+eng+en.wav',\n",
       " '02255+cafe+cafe.01+m+ang+-1+fra+fr-ca.aiff',\n",
       " '03191+CREMA-D+CREMA-D.1005+m+ang+-1+eng+en-us.wav',\n",
       " '10064+dzafic+dzafic.0+f+ang+-1+eng+en-au.avi',\n",
       " '10070+ekorpus+ekorpus.0+f+hap+1+est+et-ee.wav',\n",
       " '10937+EmoDB+EmoDB.03+m+hap+1+deu+de-de.wav',\n",
       " '11472+EmoReact_V_1.0+EmoReact_V_1.0.train4+m+unc+-1+eng+en.mp4',\n",
       " '12409+Emotional_EMA+Emotional_EMA.abe+m+ang+-1+eng+en-us.wav',\n",
       " '13031+EmoV-DB_sorted+EmoV-DB_sorted.bea+f+amu+1+eng+en-us.wav',\n",
       " '18203+enterface_db+enterface_db.1+m+ang+-1+eng+en.avi',\n",
       " '19496+esd+esd.0001+f+sur+-1+cmn+zh-cn.wav',\n",
       " '54496+EYASE+EYASE.Male03+m+ang+-1+arz+ar-eg.wav',\n",
       " '55075+jl-corpus+jl-corpus.female1+f+ang+-1+eng+en-nz.wav',\n",
       " '56755+LEGOv2+LEGOv2.20061123)000+f+neu+0+eng+en-us.wav',\n",
       " '60998+LimaCastroScott+LimaCastroScott.C+m+ach+1+por+pt-pt.wav',\n",
       " '61115+MAV+MAV.42+m+ang+-1+fra+fr-ca.wav',\n",
       " '61205+MELD+MELD.Chloe+f+neu+0+eng+en-us.mp4',\n",
       " '74906+MESS+MESS.M2+m+ang+-1+eng+en-us.wav',\n",
       " '76706+oreau2+oreau2.07+m+ang+-1+fra+fr.wav',\n",
       " '77140+ravdess+ravdess.01+m+neu+0+eng+en-ca.wav',\n",
       " '79592+savee+savee.JK+m+ang+-1+eng+en-gb.wav',\n",
       " '80079+ShEMO+ShEMO.M01+m+hap+1+pes+fa-ir.wav',\n",
       " '83079+tess+tess.OAF+f+ang+-1+eng+en-ca.wav',\n",
       " '85879+urdu+urdu.SF1+f+hap+1+urd+ur.wav',\n",
       " '86279+vivae+vivae.S01+f+ach+1+eng+en-us.wav']"
      ]
     },
     "metadata": {},
     "execution_count": 6
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "def load_file(in_path: str) -> AudioSegment:\r\n",
    "    \"Load and return an AudioSegment from file.\"\r\n",
    "    try:\r\n",
    "        return AudioSegment.from_file(\r\n",
    "            in_path, format=in_path.rsplit(\".\", maxsplit=1)[-1]\r\n",
    "        )\r\n",
    "    except:\r\n",
    "        try:\r\n",
    "            return AudioSegment.from_file(in_path)\r\n",
    "        except:\r\n",
    "            try:\r\n",
    "                return AudioSegment.from_file(in_path, format=\"wav\")\r\n",
    "            except:\r\n",
    "                try:\r\n",
    "                    return AudioSegment.from_wav(in_path)\r\n",
    "                except:\r\n",
    "                    try:\r\n",
    "                        return AudioSegment.from_file_using_temporary_files(in_path)\r\n",
    "                    except:\r\n",
    "                        try:\r\n",
    "                            return AudioSegment.from_file(in_path, format=\"aac\")\r\n",
    "                        except:\r\n",
    "                            return AudioSegment.from_file(in_path, codec=\"pcm_u16be\")"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "source": [
    "trim_leading_silence: AudioSegment = lambda x: x[\r\n",
    "    detect_leading_silence(x, silence_threshold=-60.0) :\r\n",
    "]\r\n",
    "# detect_leading_silence(_) should return 0 if no leading silence found.\r\n",
    "# detect_leading_silence() should return len(_) if no end is found (it's all silent) and raise IndexError as a result\r\n",
    "# default silence_threshold is -50.0 dFBS; lowering it reduces the amount of information lost (in theory)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "source": [
    "def process_audio(file_: str) -> int:\r\n",
    "    \"Load, trim, set sample width, set to mono, set frame rate, and write a sound file to OUT_FOLDER.\"\r\n",
    "    \"Returns 1 if zero duration detected after trim operations, 2 if longer than 1 minute, or 0 after export.\"\r\n",
    "\r\n",
    "    # Load\r\n",
    "    _ = load_file(in_file := f\"{IN_FOLDER}/{file_}\")\r\n",
    "\r\n",
    "    # Sample width 16 bits\r\n",
    "    try:\r\n",
    "        _ = _.set_sample_width(2)\r\n",
    "    except:\r\n",
    "        _ = AudioSegment.from_file_using_temporary_files(in_file).set_sample_width(2)\r\n",
    "    # Normalize\r\n",
    "    _ = effects.normalize(_)\r\n",
    "\r\n",
    "    # Trim silence\r\n",
    "    try:\r\n",
    "        _ = trim_leading_silence(_)\r\n",
    "        if not DISCOURSE_CONTEXT[file_.split(\"+\", maxsplit=2)[1]]:\r\n",
    "            _ = trim_leading_silence(_.reverse()).reverse()\r\n",
    "    except IndexError:\r\n",
    "        print(\"all silence detected during trim for {file_}\")\r\n",
    "        return 1\r\n",
    "    # Filter short and long\r\n",
    "    if (duration := len(_)) < 200:\r\n",
    "        print(f\"{file_} is less than 200 ms after trim\")\r\n",
    "        return 1\r\n",
    "    if duration > 60000:\r\n",
    "        print(f\"{file_} exceeds 1 minute in duration\")\r\n",
    "        return 2\r\n",
    "    # Set mono 16 kHz\r\n",
    "    _ = _.set_channels(1)\r\n",
    "    _ = _.set_frame_rate(16000)\r\n",
    "\r\n",
    "    # Write\r\n",
    "    _.export(\r\n",
    "        out_f=f\"{OUT_FOLDER}/{file_.rsplit('.', maxsplit=1)[0]}.wav\",\r\n",
    "        format=\"wav\",\r\n",
    "        codec=\"pcm_s16le\",\r\n",
    "        bitrate=\"128k\",\r\n",
    "    )\r\n",
    "\r\n",
    "    return 0"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "source": [
    "for sample_file in samples:\r\n",
    "    if process_audio(sample_file):\r\n",
    "        break\r\n",
    "else:\r\n",
    "    print(\"no problems so far\")"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "no problems so far\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "source": [
    "bad_files, short_files, long_files = [], [], []\r\n",
    "\r\n",
    "for sample_file in tqdm(list_of_files):\r\n",
    "    try:\r\n",
    "        if (return_code := process_audio(sample_file)) == 1:\r\n",
    "            short_files.append(sample_file)\r\n",
    "        elif return_code == 2:\r\n",
    "            long_files.append(sample_file)\r\n",
    "    except Exception as e:\r\n",
    "        bad_files.append((sample_file, e))\r\n",
    "else:\r\n",
    "    print(\"no problems in conversion\")"
   ],
   "outputs": [
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     "text": [
      " 82%|████████▏ | 71634/87364 [4:12:11<2:49:07,  1.55it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "71633+MELD+MELD.Chandler+m+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 82%|████████▏ | 71792/87364 [4:13:50<1:50:53,  2.34it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "71791+MELD+MELD.Chandler+m+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 83%|████████▎ | 72238/87364 [4:18:12<1:45:11,  2.40it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "72237+MELD+MELD.Rachel+f+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 83%|████████▎ | 72396/87364 [4:19:42<1:40:32,  2.48it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "72395+MELD+MELD.Joey+m+sur+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 83%|████████▎ | 72594/87364 [4:21:36<1:33:40,  2.63it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "72593+MELD+MELD.Phoebe+f+hap+1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 83%|████████▎ | 72718/87364 [4:22:54<1:57:59,  2.07it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "72717+MELD+MELD.Joey+m+hap+1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 83%|████████▎ | 72768/87364 [4:23:25<1:52:04,  2.17it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "72767+MELD+MELD.Rachel+f+sur+1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 83%|████████▎ | 72942/87364 [4:25:09<1:51:03,  2.16it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "72941+MELD+MELD.Joey+m+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▎ | 72960/87364 [4:25:20<1:40:17,  2.39it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "72959+MELD+MELD.Ross+m+sur+1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▎ | 73019/87364 [4:25:53<1:59:06,  2.01it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73018+MELD+MELD.Monica+f+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▍ | 73173/87364 [4:27:22<2:14:26,  1.76it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73172+MELD+MELD.Rachel+f+fea+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▍ | 73334/87364 [4:28:51<1:45:12,  2.22it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73333+MELD+MELD.Joey+m+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▍ | 73340/87364 [4:28:54<1:38:16,  2.38it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73339+MELD+MELD.Carol+f+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▍ | 73495/87364 [4:30:35<1:38:48,  2.34it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73494+MELD+MELD.Phoebe+f+sur+1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▍ | 73505/87364 [4:30:39<1:16:20,  3.03it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73504+MELD+MELD.Ross+m+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▍ | 73515/87364 [4:30:45<2:16:37,  1.69it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73514+MELD+MELD.Monica+f+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▍ | 73716/87364 [4:32:33<2:00:12,  1.89it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73715+MELD+MELD.Ross+m+ang+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▍ | 73737/87364 [4:32:45<1:55:11,  1.97it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73736+MELD+MELD.Rachel+f+ang+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 84%|████████▍ | 73782/87364 [4:33:06<1:21:52,  2.76it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73781+MELD+MELD.Ross+m+ang+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▍ | 73858/87364 [4:33:46<1:26:52,  2.59it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73857+MELD+MELD.Phoebe+f+hap+1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▍ | 73891/87364 [4:34:08<1:20:07,  2.80it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73890+MELD+MELD.Ross+m+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▍ | 73924/87364 [4:34:26<1:29:35,  2.50it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73923+MELD+MELD.Joey+m+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▍ | 73980/87364 [4:34:56<1:46:04,  2.10it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "73979+MELD+MELD.Susan+f+sur+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▍ | 74176/87364 [4:36:45<1:39:15,  2.21it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "74175+MELD+MELD.Joey+m+ang+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▌ | 74395/87364 [4:38:46<1:13:04,  2.96it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "74394+MELD+MELD.Rachel+f+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▌ | 74449/87364 [4:39:13<1:25:00,  2.53it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "74448+MELD+MELD.Chandler+m+ang+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▌ | 74509/87364 [4:39:46<2:15:08,  1.59it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "74508+MELD+MELD.Ross+m+sur+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▌ | 74530/87364 [4:39:57<1:31:06,  2.35it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "74529+MELD+MELD.Monica+f+neu+0+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▌ | 74620/87364 [4:40:46<2:09:22,  1.64it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "74619+MELD+MELD.Phoebe+f+hap+1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▌ | 74622/87364 [4:40:47<1:47:31,  1.97it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "74621+MELD+MELD.Rachel+f+hap+1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 85%|████████▌ | 74674/87364 [4:41:16<1:57:09,  1.81it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "74673+MELD+MELD.Ross+m+hap+1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      " 86%|████████▌ | 74783/87364 [4:42:18<1:31:00,  2.30it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "74782+MELD+MELD.Joey+m+ang+-1+eng+en-us.mp4 is less than 200 ms after trim\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "100%|██████████| 87364/87364 [5:08:17<00:00,  4.72it/s]"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "no problems in conversion\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "source": [
    "print(f\"There were {len(short_files)} files discarded because they were shorter than 200 milliseconds.\")"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "There were 211 files discarded because they were shorter than 200 milliseconds.\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "source": [
    "print(f\"There were {len(long_files)} files discarded because duration exceeded 1 minute.\")"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "There were 7 files discarded because duration exceeded 1 minute.\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "source": [
    "print(f\"There were {len(bad_files)} bad files.\")"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "There were 0 bad files.\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "source": [
    "if bad_files:\r\n",
    "    print(*bad_files, sep=\"\\n\")"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  }
 ],
 "metadata": {
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   "name": "python3",
   "display_name": "Python 3.9.7 64-bit (conda)"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "interpreter": {
   "hash": "3153c5f9447baeea76b8284fe09bd4a9bb783541a5da777bfa3fd9db50812060"
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 },
 "nbformat": 4,
 "nbformat_minor": 5
}