o
    SiJ                     @   sH  d Z ddlZddlZddlZddlmZ ddlmZ ddlm	Z	 ddl
mZmZmZmZmZmZ ddlmZ ddlmZmZ dd	lmZmZ dd
lmZ ddlmZmZ ddlmZm Z  dZ!dZ"dededeeeef  fddZ#	dde$dede%deeef fddZ&		ddedee de%dee$ee$eeef f f fddZ'dS )a  
About the librilight corpus

Libri-light is a benchmark for the training of automatic speech recognition (ASR)
systems with limited or no supervision.

It contains a large dataset of 60K hours of unlabelled speech from audiobooks in
English and a small labelled dataset (10h, 1h, and 10 min) plus metrics,
trainable baseline models, and pretrained models that use these datasets.

It is covered in more detail at https://arxiv.org/abs/1912.07875

This data is very huge - please download manually at LIBRILIGHT_URL.
    N)defaultdict)ThreadPoolExecutor)Path)DictListOptionalSequenceTupleUnion)tqdm)	RecordingRecordingSet)fix_manifests$validate_recordings_and_supervisions)manifests_exist)SupervisionSegmentSupervisionSet)Pathlikeadd_durations)smallmediumlarge)z8https://dl.fbaipublicfiles.com/librilight/data/small.tarz9https://dl.fbaipublicfiles.com/librilight/data/medium.tarz8https://dl.fbaipublicfiles.com/librilight/data/large.tar
corpus_dir
audio_pathreturnc                 C   s
  t |ddt | d d}| }| s"td|  d S t |dd}t|}t|}|d }|d }W d    n1 sFw   Y  t	j
||d	}g }	d
}
d}|D ]&}|	t|d t |
 ||d
 t|d |d
  |dd
d|d |
d7 }
qZ||	fS )Nz.flac /zNo such file: flacjsonspeakervoice_activity)pathrecording_idr   i>  _   )sampling_rateEnglish)idr"   startdurationchannellanguager   )strreplaceresolveis_fileloggingwarningopenr   loadr   	from_fileappendr   r   )r   r   	file_nameaudio_info_pathfaudio_infosr   	vad_infos	recordingsegmentssegment_seqr%   vad_info r?   M/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/recipes/librilight.py_parse_utterance)   sD    



rA   r$   subsetnum_jobsc              	   C   s   t |}||  }t|d}t|Z}g }g }g }t|ddD ]}	||t||	 q t|ddD ]}
|
 }|du r>q3|\}}|| |	| q3t
|}t|}t||\}}t|| W d   ||fS 1 spw   Y  ||fS )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.
    z*.flaczDistributing tasksdesc
ProcessingN)r   listrglobr   r   r5   submitrA   resultextendr   from_recordingsr   from_segmentsr   r   )rB   r   rC   	part_pathaudio_pathsexfutures
recordingssupervisionsr   futurerJ   r;   r<   recording_setsupervision_setr?   r?   r@   _prepare_subsetU   s0   




rW   
output_dirc                 C   s   t | } |  sJ d|  td t}|dur%t |}|jddd tt}t|ddD ]E}td|  t	||d	d
drKtd| d q/t
|| |\}}|durm||d| d  ||d| d  ||d||< q/|S )aH  
    Returns the manifests which consist of the Recordings and Supervisions
    :param corpus_dir: Path to the LibriLight dataset.
    :param output_dir: Pathlike, the path where to write the manifests.
    :return: a Dict whose key is the dataset part, and the value is Dicts with the keys 'recordings' and 'supervisions'.
    zNo such directory: zPreparing LibriLight...NT)parentsexist_okzDataset partsrD   zProcessing LibriLight subset: 
librilightzjsonl.gz)partrX   prefixsuffixzLibriLight subset: z already prepared - skipping.librilight_supervisions_z	.jsonl.gzlibrilight_recordings_)rR   rS   )r   is_dirr0   info
LIBRILIGHTmkdirr   dictr   r   rW   to_file)r   rX   rC   subsets	manifestsr\   rU   rV   r?   r?   r@   prepare_librilight}   s4   
ri   )r$   )Nr$   )(__doc__r   r0   oscollectionsr   concurrent.futures.threadr   pathlibr   typingr   r   r   r   r	   r
   	tqdm.autor   lhotse.audior   r   	lhotse.qar   r   lhotse.recipes.utilsr   lhotse.supervisionr   r   lhotse.utilsr   r   rc   LIBRILIGHT_URLrA   r,   intrW   ri   r?   r?   r?   r@   <module>   sX     
/

*