o Si7@s.dZddlZddlZddlZddlmZddlmZddlm Z ddl m Z m Z m Z mZddlmZmZmZmZddlmZdd lmZdd lmZmZmZd Z ddede ede fddZdeddfdede edeee efde dede ee eeeeffff ddZ!d dededefddZ"dS)!u The following are the original TED-LIUM 2 README contents. This is theTED-LIUM corpus release 2, English speech recognition training corpus from TED talks, created by Laboratoire d’Informatique de l’Université du Maine (LIUM) (mirrored here) licensed under Creative Commons BY-NC-ND 3.0 (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). All talks and text are property of TED Conferences LLC. --- The TED-LIUM corpus was made from audio talks and their transcriptions available on the TED website. We have prepared and filtered these data in order to train acoustic models to participate to the International Workshop on Spoken Language Translation 2011 (the LIUM English/French SLT system reached the first rank in the SLT task). More details are given in this paper: A. Rousseau, P. Deléglise, and Y. Estève, "Enhancing the TED-LIUM Corpus with Selected Data for Language Modeling and More TED Talks", in Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14), May 2014. Please cite this reference if you use these data in your research work. --- Contents: - 1495 audio talks in NIST sphere format (SPH) - 1495 transcripts in STM format - Dictionary with pronunciation (159848 entries) - Selected monolingual data for language modeling from WMT12 publicly available corpora SPH format info: Channels : 1 Sample Rate : 16000 Precision : 16-bit Bit Rate : 256k Sample Encoding : 16-bit Signed Integer PCM N)ThreadPoolExecutor)partial)Path)DictOptionalSequenceUnion) RecordingSetSupervisionSegmentSupervisionSet$validate_recordings_and_supervisions) fix_manifests)normalize_text_tedlium)Pathlikeresumable_download safe_extract)traindevtest.F target_dirforce_downloadreturncCst|}|jddd|d}|d}|d}|r*td|jd|d|Std ||d tj|dd t |}t ||d Wdn1sNwY| |S) NT)parentsexist_okzTEDLIUM_release2.tar.gzTEDLIUM_release2z .completedz Skipping z because z exists.z;http://www.openslr.org/resources/19/TEDLIUM_release2.tar.gz)filenamer) ignore_errors)path) rmkdiris_filelogginginfonamershutilrmtreetarfileopenrtouch)rrtar_path corpus_dircompleted_detectortarr-K/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/recipes/tedlium2.pydownload_tedlium2>s& r/none tedlium_root output_dir dataset_partsnum_jobsnormalize_textc Cst|}|dur t|nd}i}t|tr|gn|}t|}|D]}td|d||}tj|dd|d} t|d d} t | t | ksZJd t | d t | d g} t t |d } | D] } | || | qdg}| D] }||qtt|}t| |\} }| |d ||<tdi|||dur| |d|d||d|dq!Wd|S1swY|S)ae Prepare manifests for the TED-LIUM v2 corpus. The manifests are created in a dict with three splits: train, dev and test. Each split contains a RecordingSet and SupervisionSet in a dict under keys 'recordings' and 'supervisions'. :param tedlium_root: Path to the unpacked TED-LIUM data. :param output_dir: Path where the manifests should be written. :param dataset_parts: Which parts of the dataset to prepare. By default, all parts are prepared. :param num_jobs: Number of parallel jobs to use. :return: A dict with standard corpus splits containing the manifests. Nz Processing z split...sphz*.sph)patternr5stmz*.stmzMismatch: found z sphere files and z9 STM files. You might be missing some parts of TEDLIUM...)r6) recordings supervisionstedlium2_recordings_z .jsonl.gztedlium2_supervisions_r-)r isinstancestrrr!r"r from_dirlistgloblenr_parse_stm_fileappendsubmitextendresultr from_segmentsr r to_file)r2r3r4r5r6corpusexsplitrootr:stmsfutures_parse_stm_workerr9segmentsfuturer;r-r-r.prepare_tedlium2UsN      ""rTr9c Csg}|Q}t|D]C\}}|^}}}}} }} t|t| }} d| dd} | dkr1q |t|d|||t| |dddt | |d |d q Wd |S1sZwY|S) z+Helper function to parse a single STM file. z{NOISE}z[NOISE]ignore_time_segment_in_scoring-)ndigitsrEnglish)id recording_idstartdurationchanneltextlanguagespeakerN) r' enumeraterMfloatjoinreplacerEr roundr) r9r6rRfidxlrec_id_r]endwordsr`r-r-r.rDs2   rD)rF)r1)#__doc__r!r$r&concurrent.futures.threadr functoolsrpathlibrtypingrrrrlhotser r r r lhotse.qar lhotse.recipes.utilsr lhotse.utilsrrr TEDLIUM_PARTSboolr/r?intrTrDr-r-r-r.sN(       ?