o si % @sddlZddlZddlZddlZddlmZddlm Z m Z ddl Z ddl Z ddl Z ddlZddlmZdZGddde Zed d d d d dddZdS)N)hub)Dataset DataLoader)wham_noise_licensezChttps://zenodo.org/record/3871592/files/MiniLibriMix.zip?download=1c@sfeZdZdZdZ dddZd d Zd d ZedddZ eddZ e ddZ ddZ ddZdS)LibriMixaXDataset class for LibriMix source separation tasks. Args: csv_dir (str): The path to the metadata file. task (str): One of ``'enh_single'``, ``'enh_both'``, ``'sep_clean'`` or ``'sep_noisy'`` : * ``'enh_single'`` for single speaker speech enhancement. * ``'enh_both'`` for multi speaker speech enhancement. * ``'sep_clean'`` for two-speaker clean source separation. * ``'sep_noisy'`` for two-speaker noisy source separation. sample_rate (int) : The sample rate of the sources and mixtures. n_src (int) : The number of sources in the mixture. segment (int, optional) : The desired sources and mixtures length in s. References [1] "LibriMix: An Open-Source Dataset for Generalizable Speech Separation", Cosentino et al. 2020. sep_clean>Fc Cs||_||_||_|dkr#ddt|Dd}tj|j||_nd|dkrTddt|Dd}tj|j||_ddt|Dd}t tj|||_ n3|dkrnd dt|Dd}tj|j||_n|d krd dt|Dd}tj|j||_||_ ||_ t |j|_ |j durt|j } t|j |j |_|j |j d |jk|_ td | t|j d| d|dnd|_||_dS)N enh_singlecSg|]}d|vr|qS)single.0frrR/home/ubuntu/.local/lib/python3.10/site-packages/asteroid/data/librimix_dataset.py 1z%LibriMix.__init__..renh_bothcSr bothrrrrrr4rcSr cleanrrrrrr6rrcSr rrrrrrr9r sep_noisycSr rrrrrrr<rlengthzDrop z utterances from z (shorter than z seconds))csv_dirtask return_idoslistdirpathjoincsv_pathpdread_csvdf_cleansegment sample_ratedflenintseg_lenprintn_src) selfrrr)r/r(rmd_file md_clean_filemax_lenrrr__init__)s>   zLibriMix.__init__cCs t|jS)N)r+r*r0rrr__len__Ps zLibriMix.__len__cCsD|jj|}|d}||_g}|jdur%td|d|j}||j}nd}d}d|jvrG|jj|d}tj |d||d\}} | |n"t |j D]} |d| dd } tj | d||d\}} | |qLtj |d||d\} } t | } t|} t | } |js| | fS|d d d dd \}}| | ||gfS)N mixture_pathrrrfloat32)dtypestartstopsource_r_path/._)r*ilocr7r-randomrandintrr'sfreadappendranger/torch from_numpynpvstackrsplit)r0idxrowr7 sources_listr:r;mix_clean_pathsrAi source_pathmixturesourcesid1id2rrr __getitem__Ss2         "zLibriMix.__getitem__cKs8|jdi|\}}t||dd}t||dd}||fS)a4Downloads MiniLibriMix and returns train and validation DataLoader. Args: batch_size (int): Batch size of the Dataloader. Only DataLoader param. To have more control on Dataloader, call `mini_from_download` and instantiate the DatalLoader. **kwargs: keyword arguments to pass the `LibriMix`, see `__init__`. The kwargs will be fed to both the training set and validation set. Returns: train_loader, val_loader: training and validation DataLoader out of `LibriMix` Dataset. Examples >>> from asteroid.data import LibriMix >>> train_loader, val_loader = LibriMix.loaders_from_mini( >>> task='sep_clean', batch_size=4 >>> ) T) batch_size drop_lastNr)mini_from_downloadr)clsr[kwargs train_setval_set train_loader val_loaderrrrloaders_from_mini{szLibriMix.loaders_from_minicKsd|vsJd|dddvsJd|dddks Jd |}|tj|d fddi|}|tj|d fddi|}||fS) aDownloads MiniLibriMix and returns train and validation Dataset. If you want to instantiate the Dataset by yourself, call `mini_download` that returns the path to the path to the metadata files. Args: **kwargs: keyword arguments to pass the `LibriMix`, see `__init__`. The kwargs will be fed to both the training set and validation set Returns: train_set, val_set: training and validation instances of `LibriMix` (data.Dataset). Examples >>> from asteroid.data import LibriMix >>> train_set, val_set = LibriMix.mini_from_download(task='sep_clean') rz(Cannot specify csv_dir when downloading.rr)rrz>Only clean and noisy separation are supported in MiniLibriMix.r)i@z3Only 8kHz sample rate is supported in MiniLibriMix.trainval)get mini_downloadr r"r#)r^r_ meta_pathr`rarrrr]szLibriMix.mini_from_downloadcsd}tj|dd|d}tj|stt|tdddD}|s?t |d }| d Wd n1s:wYd d D]d d tjddfddt DqCdS)zDownloads MiniLibriMix from Zenodo in current directory Returns: The path to the metadata directory. z./MiniLibriMix/T)exist_okzMiniLibriMix.zipcSsg|] }tjd|qS)z MiniLibriMix/)r r"isdirrrrrrsz*LibriMix.mini_download..)rerfmetadatarz./NzMiniLibriMix/metadata/)rerfr>cs8g|]}|vrtj|rt||qSr)r r"isfileshutilcopyfilerdstmodesrcrrrs z./MiniLibriMix/metadata) r makedirsr"rnrdownload_url_to_fileMINI_URLallzipfileZipFile extractallr!)mini_dirzip_pathcondzip_refrrqrrhs$    zLibriMix.mini_downloadcCsBt}||d<|j|d<|jdkrtg}nttg}||d<|S)zGet dataset infos (for publishing models). Returns: dict, dataset infos with keys `dataset`, `task` and `licences`. datasetrrlicenses)dict _dataset_namerlibrispeech_licenser)r0infos data_licenserrr get_infoss   zLibriMix.get_infoscCsd|jdS)z&Differentiate between 2 and 3 sources.LibriMix)r/r5rrrrszLibriMix._dataset_nameN)rr r r F)rZ)__name__ __module__ __qualname____doc__ dataset_namer4r6rY classmethodrdr] staticmethodrhrrrrrrrs '(  "  rzLibriSpeech ASR corpuszhttp://www.openslr.org/12zVassil Panayotovzhttps://github.com/vdpz CC BY 4.0z,https://creativecommons.org/licenses/by/4.0/F)title title_linkauthor author_linklicense license_linknon_commercial)numpyrKpandasr% soundfilerErIrtorch.utils.datarrrCr rory wham_datasetrrwrrrrrrrs.  \