o 2wi @sdZddlZddlZddlZddlZddlmZddlmZm Z m Z ddl m Z m Z ddlmZmZddlmZddlmZdd lmZmZdd lmZmZmZmZ dd ede edefddZ ddede edeee eefffddZ defddZ!dedefddZ"dS)a The LJ Speech Dataset is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours. The texts were published between 1884 and 1964, and are in the public domain. The audio was recorded in 2016-17 by the LibriVox project and is also in the public domain. See https://keithito.com/LJ-Speech-Dataset for more details. N)Path)DictOptionalUnion) fix_manifests$validate_recordings_and_supervisions) Recording RecordingSet)Fbank)TorchaudioFeatureExtractor)SupervisionSegmentSupervisionSet)Pathlikefastcopyresumable_download safe_extract.F target_dirforce_downloadreturncCst|}|jdddd}||d}||}|d}|r.td|d|d|Std |d||d tj|dd t |}t ||d Wdn1sVwY| |S) NTparentsexist_okz LJSpeech-1.1z.tar.bz2z .completedz Skipping z because z exists.z%http://data.keithito.com/data/speech/)filenamer) ignore_errors)path) rmkdiris_filelogginginforshutilrmtreetarfileopenrtouch)rr dataset_nametar_path corpus_dircompleted_detectortarr*T/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/lhotse/recipes/ljspeech.pydownload_ljspeechs(  r,r' output_dircCspt|}|sJd||durt|}|jddd|d}|s-Jd|g}g}t|N}|D]C}|d\}}} |d|d } | sZtd| q8t | } t ||d | j d d d |d| id } | | | | q8Wdn1swYt|} t|}t| |\} }t| ||dur||d| |d| |dS)a/ Returns the manifests which consist of the Recordings and Supervisions :param corpus_dir: Pathlike, the path of the data dir. :param output_dir: Pathlike, the path where to write the manifests. :return: The RecordingSet and SupervisionSet with the keys 'audio' and 'supervisions'. zNo such directory: NTrz metadata.csvzNo such file: |wavsz.wavgrEnglishfemalenormalized_text) id recording_idstartdurationchannellanguagegendertextcustomz"ljspeech_supervisions_all.jsonl.gzz ljspeech_recordings_all.jsonl.gz) recordings supervisions)ris_dirrrr#stripsplitrwarningr from_filer r6appendr from_recordingsr from_segmentsrrto_file)r'r-metadata_csv_pathr<r=fliner4r: normalized audio_path recordingsegment recording_setsupervision_setr*r*r+prepare_ljspeech4sP         rPcCst}d|j_|S)zm Set up the feature extractor for TTS task. :return: A feature extractor with custom parameters. P)r config num_mel_bins)feature_extractorr*r*r+rTlsrTrMcCsN|j}tdd|}tdd|}tdd|}tdd|}t||dS)Nz[^\w !?]z^\s+z\s+$z\s+ )r:)r:upperresubr)rMr:r*r*r+text_normalizerws  rZ)rF)N)#__doc__rrXr r"pathlibrtypingrrrlhotserr lhotse.audiorr lhotse.featuresr lhotse.features.baser lhotse.supervisionr r lhotse.utilsrrrrboolr,strrPrTrZr*r*r*r+s>      8