o Sik @sHdZddlZddlmZddlmZddlmZddlm Z m Z m Z m Z m Z mZddlmZddlmZmZmZmZdd lmZmZdd lmZdd lmZdd lmZmZdd l m!Z!m"Z"dZ#de!de$de$de$de e eeff ddZ% dde$de!de&de eeffddZ'  d de!de e!de&de e$eeefffddZ(dS)!u The People’s Speech Dataset is among the world’s largest English speech recognition corpus today that is licensed for academic and commercial usage under CC-BY-SA and CC-BY 4.0. It includes 30,000+ hours of transcribed speech in English languages with a diverse set of speakers. This open dataset is large enough to train speech-to-text systems and crucially is available with a permissive license. Just as ImageNet catalyzed machine learning for vision, the People’s Speech will unleash innovation in speech research and products that are available to users across the globe. Source: https://mlcommons.org/en/peoples-speech/ Full paper: https://openreview.net/pdf?id=R8CwidgJ0yT N) defaultdict)ThreadPoolExecutor)Path)DictListOptionalSequenceTupleUnion)tqdm) AudioSource Recording RecordingSetinfo) fix_manifests$validate_recordings_and_supervisions)manifests_exist) load_jsonl)SupervisionSegmentSupervisionSet)Pathlikecompute_num_samples)ztrain/dirty_saz train/dirtyztrain/clean_saz train/cleanzvalidation/validationz test/test audio_dirtext audio_path identifierreturnc CsB||}tj||jd}t|j|jd|jd|dd|id}||fS)N)path recording_idgrEnglish session_id)idrstartdurationchannelrlanguagecustom)r from_filestemrr!r#)rrrr full_path recordingsegmentr,Q/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/recipes/peoples_speech.py_parse_utterance's  r.subset corpus_dirnum_jobsc Cs.t|}||dd}|dd}||}t|o}g}g}g} tt||dddD]} t| dD]\} } } ||t || | | dq:q0t|d dD]}| }|\}}||| |qUt |}t | }t||\}}t||d Wd ||fS1swY||fS) z Returns the RecodingSet and SupervisionSet given a dataset part. :param subset: str, the name of the subset. :param corpus_dir: Pathlike, the path of the data dir. :return: the RecodingSet and SupervisionSet for train and valid. /rr/z.jsonzDistributing tasksdesc training_datar Processing recordings supervisionsN)rsplitrr rzipvaluesappendsubmitr.resultrfrom_recordingsr from_segmentsrr)r0r1r2part_dir part_namerexfuturesr9r:item_rrfuturer@r*r+ recording_setsupervision_setr,r,r-_prepare_subsetAsL         ""rL output_dircCs t|}|sJd|tdt}|dur%t|}|jdddtt}t|ddD]^}td| d d t | d d |d d d rZtd| d d dq/t |||\}}|dur| |d| d d d| |d| d d d||d||<q/|S)a_ Prepare :class:`~lhotse.RecordingSet` and :class:`~lhotse.SupervisionSet` manifests for The People's Speech. :param corpus_dir: Pathlike, the path of the main data dir. :param output_dir: Pathlike, the path where to write the manifests. :return: a dict with keys "recordings" and "supervisions" with lazily opened manifests. zNo such directory: zPreparing People's Speech...NT)parentsexist_okz Dataset partsr4z#Processing People's Speech subset: r3r/peoples_speechzjsonl.gz)partrMprefixsuffixzPeople's Speech subset: z already prepared - skipping.peoples_speech_supervisions_z .jsonl.gzpeoples_speech_recordings_r8) ris_dirloggingrPEOPLES_SPEECHmkdirrdictr r;rrLto_file)r1rMr2subsets manifestsrQrJrKr,r,r-prepare_peoples_speechvs@   r^)r/)Nr/))__doc__rW collectionsrconcurrent.futures.threadrpathlibrtypingrrrrr r tqdm.autor lhotse.audior r rr lhotse.qarrlhotse.recipes.utilsrlhotse.serializationrlhotse.supervisionrr lhotse.utilsrrrXstrr.intrLr^r,r,r,r-s\           7