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Description taken from the abstract of the paper:
"EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation"
https://arxiv.org/abs/2406.06185

We release the EARS (Expressive Anechoic Recordings of Speech) dataset, a high-quality speech dataset comprising
107 speakers from diverse backgrounds, totaling in 100 hours of clean, anechoic speech data. The dataset covers
a large range of different speaking styles, including emotional speech, different reading styles, non-verbal sounds,
and conversational freeform speech. We benchmark various methods for speech enhancement and dereverberation on the
dataset and evaluate their performance through a set of instrumental metrics. In addition, we conduct a listening
test with 20 participants for the speech enhancement task, where a generative method is preferred. We introduce
a blind test set that allows for automatic online evaluation of uploaded data. Dataset download links and automatic
evaluation server can be found online.
    N)defaultdict)Path)DictIterableOptionalSequenceUnion)tqdm)RecordingSetSupervisionSegmentSupervisionSetfix_manifests$validate_recordings_and_supervisions)DEFAULT_DETECTED_MANIFEST_TYPESTYPES_TO_CLASSESload_manifestmanifests_exist)Pathlikeresumable_download zjsonl.gzF
output_dirprefixsuffixtypeslazyreturnc                 C   s   | du rdS |r| ds| d}|dr|dd }|r,|ds,td| dtt}t| } |D ]$}| | | d|  }| sHq6|rTt| |||< q6t	|||< q6t|S )a@  
    Loads manifests from the disk, or a subset of them if only some exist.
    The manifests are searched for using the pattern ``output_dir / f'{prefix}_{manifest}_{part}.json'``,
    where `manifest` is one of ``["recordings", "supervisions"]`` and ``part`` is specified in ``dataset_parts``.
    This function is intended to speedup data preparation if it has already been done before.

    :param output_dir: Where to look for the files.
    :param prefix: Optional common prefix for the manifest files (underscore is automatically added).
    :param suffix: Optional common suffix for the manifest files ("json" by default).
    :param types: Which types of manifests are searched for (default: 'recordings' and 'supervisions').
    :return: A dict with manifest (``d[dataset_part]['recording'|'manifest']``) or ``None``.
    N_.   jsonlz8Only JSONL manifests can be opened lazily (got suffix: 'z'))
endswith
startswith
ValueErrorr   dictr   is_filer   from_jsonl_lazyr   )r   r   r   r   r   	manifestsmanifestpath r)   G/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/recipes/ears.py"_read_manifests_if_cached_no_parts,   s(   


r+   r   
target_dirforce_downloadc           
   	   C   s  t | } | jddd td| d |d td| d |d ttdd	d
dD ]`}d|d}d}| d}| | }| | }|d }| rRtd| d| d q&| d| }t|||d tj	|dd t
|}	|	j| d W d   n1 s}w   Y  |  q&| S )a  
    Download and unzip the EARS dataset.

    :param target_dir: Pathlike, the path of the dir to storage the dataset.
    :param force_download: Bool, if True, download the tars no matter if the tars exist.
    :return: the path to downloaded and extracted directory with data.
    Tparentsexist_okz\https://raw.githubusercontent.com/facebookresearch/ears_dataset/main/speaker_statistics.jsonspeaker_statistics.json)filenamer-   zUhttps://raw.githubusercontent.com/facebookresearch/ears_dataset/main/transcripts.jsontranscripts.jsonr   l   z0Downloading the 107 speakers of the EARS datasetdescp03dzJhttps://github.com/facebookresearch/ears_dataset/releases/download/datasetz.zipz
.completedz	Skipping z	 because z exists./)ignore_errorsr(   N)r   mkdirr   r	   ranger$   logginginfoshutilrmtreezipfileZipFile
extractalltouch)
r,   r-   parturlzip_namezip_pathpart_dircompleted_detectorfull_urlzfr)   r)   r*   download_earsV   s@   



rN   r   
corpus_dirnum_jobsc                    s  t | } |  sJ d|  dd tddD }|dur.t |}|jddd t|d	d
}t| d  }t| d  }g }g }t|ddD ]Y}	t	|	|d	dr]t
d|	 d qJ|	 | |	 }
tj|
d| fddd}|| |D ]+}|jdd }|   }|t|j|jd|jd||d |dd|d
 qwqJg }|D ]}|t|7 }qt|}t|}t||\}}t|| |dur||d  ||d  ||d}|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 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 keys are 'recordings' and 'supervisions'.
    zNo such directory: c                 S   s   g | ]}d |dqS )r7   r8   r)   ).0spkr)   r)   r*   
<listcomp>   s    z prepare_ears.<locals>.<listcomp>r   r4   NTr.   ears)r   r   r1   r3   zPreparing EARS speakersr5   )rF   r   r   zEARS subset: z already prepared - skipping.z*.wavc                    s     d| j  S )Nr   )stemr;   spk_idr)   r*   <lambda>   s    zprepare_ears.<locals>.<lambda>)rP   recording_idr   g        r   Englishgender)
idrY   startdurationchanneltextlanguagespeakerr[   customzears_supervisions.jsonl.gzzears_recordings.jsonl.gz)
recordingssupervisions)r   is_dirr=   r<   r+   jsonloads	read_textr	   r   r>   r?   r
   from_dirappendr\   splitcopyr   r^   getpoplistfrom_recordingsr   from_segmentsr   r   to_file)rO   r   rP   dataset_partsr&   spk2metautt2transcriptre   recordings_listrF   	part_pathrd   recuttmetarecsr)   rV   r*   prepare_ears   sp   






r}   )r   F)Nr   )%__doc__rg   r>   rer@   rB   collectionsr   pathlibr   typingr   r   r   r   r   r	   lhotser
   r   r   r   r   lhotse.recipes.utilsr   r   r   r   lhotse.utilsr   r   strboolr+   rN   intr}   r)   r)   r)   r*   <module>   sd    
+
0