Newer
Older
"source": [
"# Feature Extraction of Base audio files from Invenio"
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from contextlib import contextmanager, redirect_stderr, redirect_stdout\n",
"import librosa\n",
"import tarfile\n",
"from pathlib import Path\n",
"from concurrent.futures import ThreadPoolExecutor\n",
"from definitions import BASE_PATH\n",
"import os"
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"INPUT_PATH = BASE_PATH / \"tmp\" / \"2_generate_features\" / \"input\"\n",
"OUTPUT_PATH = BASE_PATH / \"tmp\" / \"2_generate_features\" / \"output\"\n",
"\n",
"INPUT_PATHS: dict[str, str] = {\n",
" \"audio_tar\": (INPUT_PATH / \"emotifymusic.tar.gz\").__str__()\n",
"}\n",
"OUTPUT_PATHS: dict[str, str] = {\n",
" \"raw_features\": (OUTPUT_PATH / \"raw_features.csv\").__str__()\n",
"}"
]
},
"# inputs\n",
"\n",
"DEFAULT_SAMPLING_RATE = 22050\n",
"assert INPUT_PATH.exists() and INPUT_PATH.is_dir()\n",
"\n",
"# files = load_input_audio_archive(gzip_audio_path := INPUT_PATH / \"audio_files.tar.gz\", gzip_audio_path.with_suffix(\"\"))\n",
"with tarfile.open(audio_gz := INPUT_PATHS[\"audio_tar\"], \"r:gz\") as archive:\n",
" archive.extractall(path=(path_out := audio_gz.with_suffix(\"\").with_suffix(\"\")))\n",
"\n",
"files = list(path_out.rglob(\"**/*.*\"))"
"@contextmanager\n",
"def suppress_stdout_stderr():\n",
" \"\"\"A context manager that redirects stdout and stderr to devnull\"\"\"\n",
" with open(os.devnull, 'w') as fnull:\n",
" with redirect_stderr(fnull) as err, redirect_stdout(fnull) as out:\n",
" yield err, out"
"def generate_mfcc_feature(filepath: Path, sr: int = DEFAULT_SAMPLING_RATE, number_mfccs: int = 40):\n",
" x, _ = load_mp3(filepath, sr=sr)\n",
" assert sr == _\n",
" mfcc = librosa.feature.mfcc(x, sr=sr, n_mfcc=number_mfccs)\n",
"\n",
" # transpose to use mfcc bands as columns instead of rows\n",
" return pd.DataFrame(mfcc).transpose()\n",
"\n",
"def load_mp3(filepath: Path, sr: int = DEFAULT_SAMPLING_RATE):\n",
" x, sr = librosa.load(filepath, sr=sr) # extract wave (x) with sample rate (sr)\n",
" return x, sr\n",
"\n",
"with suppress_stdout_stderr(), ThreadPoolExecutor(6) as executor:\n",
" dataframes = list(executor.map(\n",
" lambda args: generate_mfcc_feature(args), files)\n",
" )"
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],
"text/plain": [
" sample filename label 0 1 2 3 \\\n",
"0 0 rock_62.mp3 rock -571.813416 -0.045195 -0.776617 0.130642 \n",
"1 1 rock_62.mp3 rock -283.595123 104.793701 -28.864902 35.690403 \n",
"2 2 rock_62.mp3 rock -84.322151 101.870377 -0.200612 48.966591 \n",
"3 3 rock_62.mp3 rock -19.622435 92.185410 8.945698 51.681049 \n",
"4 4 rock_62.mp3 rock -15.719015 84.805496 3.012265 46.291245 \n",
"... ... ... ... ... ... ... ... \n",
"2581 2581 pop_84.mp3 pop -20.295166 76.309967 -0.537112 47.537018 \n",
"2582 2582 pop_84.mp3 pop -24.393179 76.078751 -0.217696 45.393887 \n",
"2583 2583 pop_84.mp3 pop -32.004326 73.496300 7.648635 48.266846 \n",
"2584 2584 pop_84.mp3 pop -24.098267 74.569794 1.918022 42.742210 \n",
"2585 2585 pop_84.mp3 pop -49.109211 77.647949 -3.673396 42.419292 \n",
"\n",
" 4 5 6 ... 30 31 32 \\\n",
"0 0.740200 -0.202103 -0.685899 ... -0.571889 0.460704 0.534769 \n",
"1 -4.955809 -11.049730 -12.609512 ... -8.575553 7.450663 3.012856 \n",
"2 0.395384 7.875898 -8.082167 ... -1.941671 3.003232 -9.348690 \n",
"3 7.451919 13.238035 0.040309 ... 0.989069 3.732528 -10.594652 \n",
"4 11.866993 14.065739 3.912442 ... 2.546893 4.681245 -10.060188 \n",
"... ... ... ... ... ... ... ... \n",
"2581 -2.753691 20.138699 -12.179976 ... -11.053669 13.894144 8.479092 \n",
"2582 -3.839055 18.908188 -13.727843 ... -4.695143 15.707985 8.134483 \n",
"2583 -0.455808 17.435381 -14.363821 ... -2.071352 17.130743 0.093085 \n",
"2584 -2.470837 18.779152 -18.865677 ... -8.722974 14.073466 0.714307 \n",
"2585 -1.558257 18.824373 -23.748917 ... -10.903637 10.563424 3.245042 \n",
"\n",
" 33 34 35 36 37 38 39 \n",
"0 -0.529890 -0.475038 0.583885 0.398325 -0.615929 -0.313063 0.622702 \n",
"1 -0.510788 -4.468874 -4.104988 -0.391649 3.345398 2.204561 -7.161574 \n",
"2 1.886054 -5.747732 1.687546 0.704384 -2.186291 1.340472 -1.882954 \n",
"3 2.572243 -1.231659 3.904081 -0.745448 1.233542 -2.789202 -0.164483 \n",
"4 -0.001825 -0.918342 1.720158 -1.147007 5.340800 -6.961733 1.635832 \n",
"... ... ... ... ... ... ... ... \n",
"2581 7.122847 -14.929329 -5.350380 -13.549859 -2.760207 -6.507334 -1.587169 \n",
"2582 -4.642361 -16.337616 1.411419 -5.382087 -2.032343 -4.381462 6.644224 \n",
"2583 -9.584680 -14.788561 3.801263 -4.997859 -0.796039 -4.585654 8.843502 \n",
"2584 -3.764169 -16.944185 -0.806753 -6.225281 2.324071 -6.115126 1.064405 \n",
"2585 3.819183 -15.246656 -0.539900 -7.361567 7.688834 -3.895716 -3.842279 \n",
"\n",
"[1029854 rows x 43 columns]"
]
"metadata": {},
"output_type": "execute_result"
}
],
"for file, dataframe in zip(files, dataframes):\n",
" dataframe[\"sample\"] = dataframe.index.to_numpy(copy=True)\n",
" dataframe[\"filename\"] = file.name\n",
" dataframe[\"label\"] = file.name.split('_')[0] # extract genre from file name\n",
"dataframe_concat = pd.concat(dataframes)\n",
"columns_old = list(dataframe_concat.columns)\n",
"columns = columns_old[-3:] + columns_old[:-3]\n",
"dataframe_concat = dataframe_concat[columns]\n",
"output: pd.DataFrame = dataframe_concat\n",
"output"
"OUTPUT_PATH.mkdir(parents=True, exist_ok=True)\n",
"output.to_csv(OUTPUT_PATHS[\"raw_features\"], index=False)"
]
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