o 2wi@sdZddlZddlZddlmZmZddlmZddlm Z m Z m Z ddl m Z ddlmZmZmZmZmZddlmZmZdd lmZmZd Z dd ededefddZ   d dede ededede ee eefff ddZdedededefddZ 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|}|d}|jddd|d}|r!|r1tjdtdd|d|t | d d d D]}t | }| |Wd n1sQwYq:|S) a 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'.z grid-corpusT)parentsexist_okz .downloadedz zenodo_get )shellcheckcwdz*.zipzUnzipping files)descN)r RuntimeErrorrmkdirexists subprocessrunGRID_ZENODO_IDtouchrglobzipfileZipFile extractall)rr corpus_dirdownload_markerpfr,P/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/lhotse/recipes/grid.py download_grids&   r.Tr( output_dirwith_supervisionsnum_jobsc Cspt|}|d}|sJ|d}|sJg}g}dd|dD}g} t|F} |D]} | j} | dD]} | | t| | ||q9q/tt | t | ddD]}| \}}|||d urj||qTWd n1suwYt |}|rt|}t||\}}t|||d urt|}||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'. alignments audio_25kcSsg|] }|jdks|qS)z.zip)suffix).0r*r,r,r- asz prepare_grid..zs*z*.mpgzScanning videos)totalrNzgrid_recordings.jsonl.gzzgrid_supervisions.jsonl.gz recordings) supervisions)ris_dirr$rnameappendsubmitprocess_singlerrlenresultr from_recordingsr from_segmentsr r to_fileupdate)r(r0r1r2ali_dir audio_dirr9r: video_dirsfuturesex speaker_dirspeaker video_pathr+ recordingmaybe_supervisionansr,r,r- prepare_gridEsV           rQrMrLrFc Cs|j}tj||d|d}d}|||d}|rK|rKdddd|DD}t|j|jd|j |j d d d|Dd |d |id }||fS)N_) recording_idz.alignc Ss<g|]\}}}t|t|dtt|t|ddqS)i)symbolstartduration)rfloatint)r6bewr,r,r-r7s z"process_single..css|]}|VqdS)N)split)r6liner,r,r- sz!process_single..g css |] }|jdkr|jVqdS)silN)rT)r6itemr,r,r-r^sEnglishword) idrSrUrVchanneltextlanguagerL alignment) stemr from_file with_suffixis_file read_text splitlinesrrdrV channel_idsjoin) rMrLrFr1video_idrN supervisionali_pathalir,r,r-r?s(  r?)rF)NTr/)!__doc__r r%concurrent.futuresrrpathlibrtypingrrr tqdm.autorlhotser r r r r lhotse.supervisionrr lhotse.utilsrrr"boolr.rXstrrQr?r,r,r,r-sV   ) B