o Si@sdZddlZddlZddlZddlZddlZddlmZmZddl m Z ddl m Z m Z mZddlmZddlmZmZmZmZmZddlmZmZdd lmZmZd Z dd edede fddZ   d dede edede de e!eeefff ddZ"de de!de defddZ#dS)!a The Grid Corpus is a large multitalker audiovisual sentence corpus designed to support joint computational-behavioral studies in speech perception. In brief, the corpus consists of high-quality audio and video (facial) recordings of 1000 sentences spoken by each of 34 talkers (18 male, 16 female), for a total of 34000 sentences. Sentences are of the form "put red at G9 now". Source: https://zenodo.org/record/3625687 N)ProcessPoolExecutor as_completed)Path)DictOptionalUnion)tqdm) Recording RecordingSetSupervisionSet fix_manifests$validate_recordings_and_supervisions) AlignmentItemSupervisionSegment)Pathlikeis_module_availablez10.5281/zenodo.3625687.F target_dirforce_downloadreturnc Cstdstdt|}|jddd|d}|r|r-tjdtdd|d|t | dd d D]}t | }| |Wd n1sMwYq6id d d d ddddddddddddddddddddddddddddddidddddd d!d"d"d!d#d#d$d$d%d&d&d%d'd(d(d'd)d)d*d*d+d,d,d+d-d-}|d.}tj|t_t}|D]"\} } tj|| } tj|| } t| | td/| d0| qt|t|||S)1a Download and untar the dataset, supporting both LibriSpeech and MiniLibrispeech :param target_dir: Pathlike, the path of the dir to storage the dataset. :param dataset_parts: "librispeech", "mini_librispeech", or a list of splits (e.g. "dev-clean") to download. :param force_download: Bool, if True, download the tars no matter if the tars exist. :param alignments: should we download the alignments. The original source is: https://github.com/CorentinJ/librispeech-alignments :param base_url: str, the url of the OpenSLR resources. :param alignments_url: str, the url of LibriSpeech word alignments :return: the path to downloaded and extracted directory with data. zenodo_getzLTo download Grid Audio-Visual Speech Corpus please 'pip install zenodo_get'.T)parentsexist_okz .downloadedz zenodo_get )shellcheckcwdz*.zipzUnzipping files)descNs1s2s3s4s5s6s7s8s9s10s13s11s12s14s15s16s17s18s19s20s21s22s23s24s25s26s27s28s29s30s31s32s33s34 alignmentszCopied entire folder from z to )r RuntimeErrorrmkdirexists subprocessrunGRID_ZENODO_IDtouchrglobzipfileZipFile extractallospathabspathtempfiletempdirmkdtempitemsjoinshutilcopytreeprintrmtreerename) rr corpus_dirdownload_markerpfspeaker_fix_map input_dirtemp_alignment_dir tgt_folder src_foldersrc_pathtgt_pathrcG/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/recipes/grid.py download_grid!s         !%   reTrX output_dirwith_supervisionsnum_jobsc Cst|}|d}|sJ|d}|sJg}g}g}tt|d} dd| D} t|\} | D]} | jj} || t | | ||q5t t |t |ddD]3} z | }|dur`WqSWntys}zWYd}~qSd}~ww|\}}|||dur||qSWdn1swYt|}|rt|}t||\}}t|||durt|}||d |r||d d |i}|r|j|d |S) a Returns the manifests which consist of the Recordings and Supervisions. When all the manifests are available in the ``output_dir``, it will simply read and return them. :param corpus_dir: Pathlike, the path of the data dir. :param output_dir: Pathlike, the path where to write the manifests. :param with_supervisions: bool, when False, we'll only return recordings; when True, we'll also return supervisions created from alignments, but might remove some recordings for which they are missing. :param num_jobs: int, number of parallel jobs. :return: a Dict whose key is the dataset part, and the value is Dicts with the keys 'audio' and 'supervisions'. r? audio_25kz*.mpgcSsg|] }dt|vr|qS)MACOSX)str).0r[rcrcrd sz prepare_grid..zScanning videos)totalrNzgrid_recordings.jsonl.gzzgrid_supervisions.jsonl.gz recordings) supervisions)ris_dirlistrglobrparentnameappendsubmitprocess_singlerrlenresult Exceptionr from_recordingsr from_segmentsr r to_fileupdate)rXrgrhriali_dir audio_dirrprqfutures all_mpg_filesex video_pathspeakerr[r{e recordingmaybe_supervisionansrcrcrd prepare_grid{sf            rrrrc Cs|j}ztj||d|d}Wnty.}ztd|d|WYd}~dSd}~wwd}|||d}|rk|rkdddd |DD} t |j |j d |j |j d d d | Dd |d| id }||fS)N_) recording_idzUnexpected error for z: z.alignc Ss<g|]\}}}t|t|dtt|t|ddqS)i)symbolstartduration)rfloatint)rmbrwrcrcrdrns z"process_single..css|]}|VqdS)N)split)rmlinercrcrd sz!process_single..g css |] }|jdkr|jVqdS)silN)r)rmitemrcrcrdrsEnglishword) idrrrchanneltextlanguager alignment)stemr from_filer|rU with_suffixis_file read_text splitlinesrrr channel_idsrR) rrrrhvideo_idrr supervisionali_pathalircrcrdrys8   ry)rF)NTrf)$__doc__rKrSrCrNrHconcurrent.futuresrrpathlibrtypingrrr tqdm.autorlhotser r r r r lhotse.supervisionrr lhotse.utilsrrrEboolrerrlrryrcrcrcrds\   \ M