o %ݫi@sdZddlZddlZddlmZmZddlmZddlm Z e e Z edddZ eddd Z edd d Zd d ZddZddZddZdS)zLibrary for Downloading and Preparing Datasets for Data Augmentation, This library provides functions for downloading datasets from the web and preparing the necessary CSV data manifest files for use by data augmenters. Authors: * Mirco Ravanelli 2023 N) download_file get_all_files)main_process_only) get_loggercCsftj|d}tj|st||ddnt||tj|s1t|d|gd}t|||dSdS)a}Downloads a dataset containing recordings (e.g., noise sequences) from the provided URL and prepares the necessary CSV files for use by the noise augmenter. Arguments --------- URL : str The URL of the dataset to download. dest_folder : str The local folder where the noisy dataset will be downloaded. ext : str File extensions to search for within the downloaded dataset. csv_file : str The path to store the prepared noise CSV file. max_length : float The maximum length in seconds. Recordings longer than this will be automatically cut into pieces. zdata.zipT)unpack.) match_andN)ospathjoinisdirrisfiler prepare_csv)URL dest_folderextcsv_file max_length data_filefilelistrS/home/ubuntu/.local/lib/python3.10/site-packages/speechbrain/augment/preparation.pyprepare_dataset_from_URLs   rc Cslz t|||WdSty5}z tjd|dtj|r*t|WYd}~dSWYd}~dSd}~ww)a}Iterate a set of wavs and write the corresponding csv file. Arguments --------- filelist : str A list containing the paths of files of interest. csv_file : str The path to store the prepared noise CSV file. max_length : float The maximum length in seconds. Recordings longer than this will be automatically cut into pieces. z Exception:)exc_infoN) write_csv Exceptionloggererrorr r existsremove)rrrerrrr8s rcCs^t|ddd}|dt|D] \}}t||||qWddS1s(wYdS)a Iterate through a list of audio files and write the corresponding CSV file. Arguments --------- filelist : list of str A list containing the paths of audio files of interest. csv_file : str The path where to store the prepared noise CSV file. max_length : float (optional) The maximum recording length in seconds. Recordings longer than this will be automatically cut into pieces. wzutf-8)encodingz$ID,duration,wav,wav_format,wav_opts N)openwrite enumerate_write_csv_row)rrrr!ifilenamerrrrQs  "rc Cst|\}}t|||}tj|d\}}|jd|}|dur5||kr5t||||||||| dSt ||||||dS)am Write a single row to the CSV file based on the audio file information. Arguments --------- w : file The open CSV file for writing. filename : str The path to the audio file. index : int The index of the audio file in the list. max_length : float (optional) The maximum recording length in seconds. rN) torchaudioload_ensure_single_channelr r basenamesplitshape_handle_long_waveform_write_short_waveform_csv) r!r(indexrsignalrateIDrdurationrrrr&fs r&cCs.|jddkr|dd}t||||S)ad Ensure that the audio signal has only one channel. Arguments --------- signal : torch.Tensor The audio signal. filename : str The path to the audio file. rate : int The sampling frequency of the signal. Returns ------- signal : Torch.Tensor The audio signal with a single channel. rr))r/ unsqueezer*save)r3r(r4rrrr,sr,c Cst|tt||D]Z} t|| |} tt|| d||} |dd}|d|dt| d|} t | |dd| | f||d|d| t| | || |df} | d | q dS)a| Handle long audio waveforms by cutting them into pieces and writing to the CSV. Arguments --------- w : file The open CSV file for writing. filename : str The path to the audio file. ID : str The unique identifier for the audio. ext : str The audio file extension. signal : torch.Tensor The audio signal. rate : int The audio sample rate. duration : float The duration of the audio in seconds. max_length : float The maximum recording length in seconds. index : int The index of the audio file in the list. r)r_N ,) r rrangeintminr.replacestrr*r8r$r )r!r(r5rr3r4r6rr2jstartstop new_filenamecsv_rowrrrr0s  r0c Cs,|d|d|t|||dfdS)a Write a CSV row for a short audio waveform. Arguments --------- w : file The open CSV file for writing. ID : str The unique identifier for the audio. ext : str The audio file extension. duration : float The duration of the audio in seconds. filename : str The path to the audio file. index : int The index of the audio file in the list. r;r9r:N)r$r r@)r!r5rr6r(r2rrrr1s,r1)N)__doc__r r*speechbrain.utils.data_utilsrrspeechbrain.utils.distributedrspeechbrain.utils.loggerr__name__rrrrr&r,r0r1rrrrs"    !   -