o zi @sVddlZddlZddlmZddlmZddlmZ d deded ed e fd d Z dS)N)Path)tqdm) AudioSignalF audio_files output_csvloudness data_pathc Csg}t|}|D]B}t|}|d|ji}|jdkr,d|d<|r+td |d<n|dur5||n||d<|rEt||d<| |qt |d$}t j |t |dd } | |D]} | | qdWddS1swwYdS) aConverts a folder of audio files to a CSV file. If ``loudness = True``, the output of this function will create a CSV file that looks something like: .. csv-table:: :header: path,loudness daps/produced/f1_script1_produced.wav,-16.299999237060547 daps/produced/f1_script2_produced.wav,-16.600000381469727 daps/produced/f1_script3_produced.wav,-17.299999237060547 daps/produced/f1_script4_produced.wav,-16.100000381469727 daps/produced/f1_script5_produced.wav,-16.700000762939453 daps/produced/f3_script1_produced.wav,-16.5 .. note:: The paths above are written relative to the ``data_path`` argument which defaults to the environment variable ``PATH_TO_DATA`` if it isn't passed to this function, and defaults to the empty string if that environment variable is not set. You can produce a CSV file from a directory of audio files via: >>> import audiotools >>> directory = ... >>> audio_files = audiotools.util.find_audio(directory) >>> output_path = "train.csv" >>> audiotools.data.preprocess.create_csv( >>> audio_files, output_csv, loudness=True >>> ) Note that you can create empty rows in the CSV file by passing an empty string or None in the ``audio_files`` list. This is useful if you want to sync multiple CSV files in a multitrack setting. The loudness of these empty rows will be set to -inf. Parameters ---------- audio_files : list List of audio files. output_csv : Path Output CSV, with each row containing the relative path of every file to ``data_path``, if specified (defaults to None). loudness : bool Compute loudness of entire file and store alongside path. z Processing pathinfrNwr) fieldnames)rrset_descriptionnamefloat relative_torffmpeg_loudnessitemappendopencsv DictWriterlistkeys writeheaderwriterow) rrrr infopbaraf_infofwriterrr#N/home/ubuntu/.local/lib/python3.10/site-packages/audiotools/data/preprocess.py create_csv s,1    "r%)FN) rospathlibrrcorerrboolstrr%r#r#r#r$s