o 2wi@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 3 README contents. This is the TED-LIUM corpus release 3, 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. This new TED-LIUM release was made through a collaboration between the Ubiqus company and the LIUM (University of Le Mans, France) --- Contents: - 2351 audio talks in NIST sphere format (SPH), including talks from TED-LIUM 2: be careful, same talks but not same audio files (only these audio file must be used with the TED-LIUM 3 STM files) --> 452 hours of audio - 2351 aligned automatic transcripts in STM format - TEDLIUM 2 dev and test data: 19 TED talks in SPH format with corresponding manual transcriptions (cf. 'legacy' distribution below). - Dictionary with pronunciations (159848 entries), same file as the one included in TED-LIUM 2 - Selected monolingual data for language modeling from WMT12 publicly available corpora: these files come from the TED-LIUM 2 release, but have been modified to get a tokenization more relevant for English language - Two corpus distributions: -- the legacy one, on which the dev and test datasets are the same as in TED-LIUM 2 (and TED-LIUM 1). -- the 'speaker adaptation' one, especially designed for experiments on speaker adaptation. --- SPH format info: Channels : 1 Sample Rate : 16000 Precision : 16-bit Bit Rate : 256k Sample Encoding: 16-bit Signed Integer PCM --- François Hernandez, Vincent Nguyen, Sahar Ghannay, Natalia Tomashenko, and Yannick Estève, "TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation", submitted to the 20th International Conference on Speech and Computer (SPECOM 2018), September 2018, Leipzig, Germany A preprint version is available on arxiv (and in the doc/ directory): https://arxiv.org/abs/1805.04699 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_release-3.tgzzTEDLIUM_release-3z .completedz Skipping z because z exists.z9http://www.openslr.org/resources/51/TEDLIUM_release-3.tgz)filenamer) ignore_errors)path) rmkdiris_filelogginginfonamershutilrmtreetarfileopenrtouch)rrtar_path corpus_dircompleted_detectortarr,S/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/lhotse/recipes/tedlium.pydownload_tedliumAs& r.none tedlium_root output_dir dataset_partsnum_jobsnormalize_textc Cst|}|dur t|nd}i}t|tr|gn|}t|}|D]}td|d|d|}tj|dd|d} t|d d } t | t | ks\Jd t | d t | d g} t t |d } | D] } | || | qfg}| D] }||qvt|}t| |\} }| |d||<tdi|||dur| |d|d||d|dq!Wd|S1swY|S)ae Prepare manifests for the TED-LIUM v3 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...legacysphz*.sph)patternr4stmz*.stmzMismatch: found z sphere files and z9 STM files. You might be missing some parts of TEDLIUM...)r5) recordings supervisionstedlium_recordings_z .jsonl.gztedlium_supervisions_r,)r isinstancestrrr r!r from_dirlistgloblenr_parse_stm_fileappendsubmitextendresultr from_segmentsr r to_file)r1r2r3r4r5corpusexsplitrootr:stmsfutures_parse_stm_workerr9segmentsfuturer;r,r,r-prepare_tedliumXsN       ""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) r9r5rRfidxlrec_id_r]endwordsr`r,r,r-rDs2   rD)rF)r0)#__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+       ?