o 2wi @sdZddlmZddlmZddlmZmZddlm Z ddl m Z m Z ddl mZddlmZdd lmZdd lmZd ed ed eeeeffddZ ddedededeed e f ddZdS)a The Emilia dataset is constructed from a vast collection of speech data sourced from diverse video platforms and podcasts on the Internet, covering various content genres such as talk shows, interviews, debates, sports commentary, and audiobooks. This variety ensures the dataset captures a wide array of real human speaking styles. The initial version of the Emilia dataset includes a total of 101,654 hours of multilingual speech data in six different languages: English, French, German, Chinese, Japanese, and Korean. See also https://emilia-dataset.github.io/Emilia-Demo-Page/ Please note that Emilia does not own the copyright to the audio files; the copyright remains with the original owners of the videos or audio. Users are permitted to use this dataset only for non-commercial purposes under the CC BY-NC-4.0 license. Please refer to https://huggingface.co/datasets/amphion/Emilia-Dataset or https://openxlab.org.cn/datasets/Amphion/Emilia to download the dataset. Note that you need to apply for downloading. )ThreadPoolExecutor)Path)OptionalTuple)tqdm)CutSetMonoCut) Recording) load_jsonl)SupervisionSegment)Pathlikedata_dirlinereturnc Csd||d}|s dStj||jd}t|j|jd|jd|d|d|dd |d id }||fS) a :param data_dir: Path to the data directory :param line: dict, it looks like below:: { "id": "DE_B00000_S00000_W000029", "wav": "DE_B00000/DE_B00000_S00000/mp3/DE_B00000_S00000_W000029.mp3", "text": " Und es gibt auch einen Stadtplan von Tegun zu sehen.", "duration": 3.228, "speaker": "DE_B00000_S00000", "language": "de", "dnsmos": 3.3697 } :return: a tuple of "recording" and "supervision" wavN)path recording_idgrtextlanguagespeakerdnsmos) idrstartdurationchannelrrrcustom)is_filer from_filestemr rr)r r full_path recordingsegmentr"R/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/lhotse/recipes/emilia.py_parse_utterance)s&   r$N corpus_dirlangnum_jobs output_dirc Csj|durtd|}|dvrtd|t|}|s&Jd||d|}|s7Jd||d}g}g}t|O} |D]} tt| d| d |d d D] } || t || qXqGt|d d D]} | } | durwql| \}}|t |j |d |j|gd dqlWdn1swYt|}|durt|}||d|d|S)a Returns the manifests which consist of the Recordings and Supervisions :param corpus_dir: Pathlike, the path of the data dir. We assume the directory has the following structure: corpus_dir/raw/openemilia_all.tar.gz, corpus_dir/raw/DE, corpus_dir/raw/DE/DE_B00000.jsonl, corpus_dir/raw/DE/DE_B00000/DE_B00000_S00000/mp3/DE_B00000_S00000_W000000.mp3, corpus_dir/raw/EN, etc. :param lang: str, one of en, zh, de, ko, ja, fr :param num_jobs: int, number of threads for processing jsonl files :param output_dir: Pathlike, the path where to write the manifests. :return: The CutSet containing the data for the given language. NzPlease provide --lang)DEENFRJAKOZHzLPlease provide a valid language. Choose from de, en, fr, ja, ko, zh. Given: zNo such directory: rawz*.jsonlz Processing z with z jobs)desczCollecting futuresr)rr rr supervisionsr emilia_cuts_z .jsonl.gz) ValueErrorupperris_dirglobrrr appendsubmitr$resultrrrr from_cutsto_file)r%r&r'r(lang_uppercaser jsonl_filescutsfuturesex jsonl_fileitemfuturer9r r!cut_setr"r"r#prepare_emiliaUsh      !rE)N)__doc__concurrent.futures.threadrpathlibrtypingrr tqdm.autorlhotserr lhotse.audior lhotse.serializationr lhotse.supervisionr lhotse.utilsr dictr$strintrEr"r"r"r#s:        0