o Si @sdZddlZddlmZddlmZmZmZmZm Z ddl m Z ddl m Z mZmZmZddlmZmZmZdZd ed fd ed eed eedefddZ ddedeedeeeee eeffffddZdedefddZdS)a; WHAM noise recordings preparation for Lhotse. This recipe prepares the noise component of the WHAM dataset, which consists of real-world ambient noise recordings collected in various environments (cafes, restaurants, bars, etc.). These noise recordings are commonly used in combination with clean speech datasets to create noisy mixtures for speech separation and enhancement tasks. For more details about WHAM, see: - Paper: "WHAM!: Extending Speech Separation to Noisy Environments" https://arxiv.org/abs/1907.01160 - Original dataset: https://wham.csail.mit.edu/ N)Path)DictIterableListOptionalUnion)ZipFile) Recording RecordingSetSupervisionSetvalidate)Pathlikeresumable_download safe_extractzRhttps://my-bucket-a8b4b49c25c811ee9a7e8bba05fa24c7.s3.amazonaws.com/wham_noise.zip.F target_dirurlforce_downloadreturncCst|}|jdddd}||}|d}|d}|r+td|d|d|St|||d td t|}|j|d |Wd |S1sQwY|S) a Download and untar the WHAM corpus. :param target_dir: Pathlike, the path of the dir to store the dataset. :param url: str, the url that downloads file called "wham_noise.zip". :param force_download: bool, if True, download the archive even if it already exists. Tparentsexist_okzwham_noise.zip wham_noisez.wham_noise_completedz Skipping z because z exists.)filenamerzExtracting files...)pathN) rmkdiris_filelogginginforr extractalltouch)rrrzip_namezip_path corpus_dircompleted_detectorzfr&G/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/recipes/wham.py download_whams$      r(r# output_dirc Cst|}|sJd|i}gd}|D]&}td|ddt||i||<td|dt||dq|durkt|}|jddd|D]}||D]\}}||d |d |d qWqO|S) NzNo such directory: )trcvttz Scanning z split... recordingsz Validating Trwham__z .jsonl.gz) ris_dirrrscan_recordingsr ritemsto_file)r#r) manifestssplitssplitkeymanifestr&r&r' prepare_wham:s"r9cCstdd|dDS)Ncss|]}t|VqdSN)r from_file).0filer&r&r' Us  z"scan_recordings..z*.wav)r from_recordingsrglob)r#r&r&r'r1Ts r1r:)__doc__rpathlibrtypingrrrrrzipfilerlhotser r r r lhotse.utilsr rrWHAM_URLstrboolr(r9r1r&r&r&r's<