o Siy@sdZddlZddlZddlZddlZddlmZddlmZm Z m Z m Z ddl m Z ddl mZmZmZmZddlmZmZddlmZmZdd lmZmZmZd Z  dd ede ee efde ededeeeee eeffff ddZdS)a This recipe supports Chinese TTS corpora: WenetSpeech4TTS. Paper: https://arxiv.org/abs/2406.05763v3 HuggingFace Dataset: https://huggingface.co/datasets/Wenetspeech4TTS/WenetSpeech4TTS Download using huggingface-cli: huggingface-cli login huggingface-cli download --repo-type dataset --local-dir $DATA_DIR Wenetspeech4TTS/WenetSpeech4TTS Extract the downloaded data: for folder in Standard Premium Basic; do for file in "$folder"/*.tar.gz; do tar -xzvf "$file" -C "$folder" done done N)Path)DictOptionalSequenceUnion)tqdm)SupervisionSegmentSupervisionSet fix_manifests$validate_recordings_and_supervisions) Recording RecordingSet)manifests_existread_manifests_if_cached)Pathlikeresumable_download safe_extract)BasicPremiumStandardr corpus_dir dataset_parts output_dirnum_jobsreturncCs\t|}|sJd||dks|ddkrt}nt|tr/|tvs,Jd||g}i}|durGt|}|jdddt||dd }i}i}i}t|d d 7}|D],} |  } | d || d<d | d vrv| d || d<d| d vr| d || d<qXWdn1swYi} i} i} t|dd}|D]} |  } t | d | | d<qWdn1swYt|dd}|D]} |  } t | d | | d<qWdn1swYt|dd}|D]} |  } t | d | | d<qWdn 1swY|D]} t | |ddr:t d| dq$g}g}| dkrH|}| }n| dkrR|}| }n|}| }t|d| dD]\}}|dsmJ||dd}|st d|qat|}|||jjd|jdddd}|st d|qat|d }|}|d d!d }|d }Wdn 1swY|t||d"|jdd#||||dd$d%qat|}t |}t!||\}}t"|||dur#|#|d&| d'|#|d(| d'||d)|| <q$|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 dataset_parts: string or sequence of strings representing dataset part names, e.g. 'Basic', 'Premium'. By default we will prepare all parts. :param output_dir: Pathlike, the path where to write the manifests. :param num_jobs: the number of parallel workers parsing the data. :return: a Dict whose key is the dataset part, and the value is Dicts with the keys 'audio' and 'supervisions'. zNo such directory: allrzUnsupported dataset part: NT)parentsexist_okwenetspeech4tts)rrprefix filelistszBasic_filelist.lstrrrDNSMOS_P808ScoreszBasic_DNSMOS.lstzPremium_DNSMOS.lstzStandard_DNSMOS.lst)partrr zWenetSpeech4TTS subset: z already prepared - skipping.rzPreparing WenetSpeech4TTS )descz../zNo such file: txtswavsz.wavz.txtr gChinese) timestampdns_mos)id recording_idstartdurationchannellanguagetextcustomwenetspeech4tts_supervisions_z .jsonl.gzwenetspeech4tts_recordings_) recordings supervisions)$ris_dirWENETSPEECH4TTS isinstancestrmkdirropenstripsplitfloatrlogginginforitems startswithis_filewarningr from_fileappendparentnamereplace readlinesrr0getr from_recordingsr from_segmentsr r to_file)rrrr manifestsbasic_wav_scp_dictpremium_wav_scp_dictstandard_wav_scp_dictflinebasic_dns_mos_dictpremium_dns_mos_dictstandard_dns_mos_dictr#r7r8 wav_scp_dict dns_mos_dictwav_namewav_path recordingtxt_pathlinesr3r+rbR/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/recipes/wenetspeech4tts.pyprepare_wenetspeech4tts,s                      rd)rNr) __doc__rBreshutiltarfilepathlibrtypingrrrrrlhotserr r r lhotse.audior r lhotse.recipes.utilsrr lhotse.utilsrrrr:r<intrdrbrbrbrcs6