# coding=utf-8 """VoxCeleb dataset.""" import os from typing import List from pathlib import Path import librosa import datasets from rich import print DATA_DIR_STRUCTURE = """ test/ └── wav ├── id10270 ... └── id10309 ├── A3ZvNuG8_oM ... └── UbApEUoPvzY ├── 00001.wav ... └── 00005.wav """ SAMPLING_RATE = 16_000 class VoxCelebConfig(datasets.BuilderConfig): """BuilderConfig for VoxCeleb.""" def __init__(self, features, **kwargs): super(VoxCelebConfig, self).__init__(version=datasets.Version("0.0.1", ""), **kwargs) self.features = features class VoxCeleb(datasets.GeneratorBasedBuilder): BUILDER_CONFIGS = [ VoxCelebConfig( features=datasets.Features( { "audio": datasets.Audio(sampling_rate=SAMPLING_RATE), "speaker": datasets.Value("string"), # "duration": datasets.Value("int32"), } ), name="verification", description="", ), ] DEFAULT_CONFIG_NAME = "verification" def _info(self): return datasets.DatasetInfo( description="VoxCeleb for verification", features=self.config.features, ) @property def manual_download_instructions(self): return ( "To use VoxCeleb you have to download it manually. " "The tree structure of the downloaded data looks like: \n" f"{DATA_DIR_STRUCTURE}" ) def _split_generators(self, dl_manager): data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir)) if not os.path.exists(data_dir): raise FileNotFoundError( f"{data_dir} does not exist. " f"Manual download instructions: \n{self.manual_download_instructions}" ) dev_archive_path = os.path.join(data_dir, 'dev', 'wav') test_archive_path = os.path.join(data_dir, 'test', 'wav') for path in [dev_archive_path, test_archive_path]: if not os.path.isdir(path): raise FileExistsError(f"{path} does not exist. Make sure you have converted m4a to wav format.") return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"split": "train", "archive_path": dev_archive_path}), datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"split": "test", "archive_path": test_archive_path}), ] def _generate_examples(self, split, archive_path): """Generate examples from VoxCeleb""" # Iterating the contents of the data to extract the relevant information extensions = ['.wav'] _, wav_paths = fast_scandir(archive_path, extensions, recursive=True) for guid, wav_path in enumerate(wav_paths): fileid = Path(wav_path).name speaker = Path(wav_path).parent.parent.name # duration = librosa.get_duration(path=wav_path) # if duration <= 0: # continue try: yield guid, { "id": str(guid), "audio": wav_path, "speaker": speaker, # "duration": duration } except: continue def fast_scandir(path: str, extensions: List[str], recursive: bool = False): # Scan files recursively faster than glob # From github.com/drscotthawley/aeiou/blob/main/aeiou/core.py subfolders, files = [], [] try: # hope to avoid 'permission denied' by this try for f in os.scandir(path): try: # 'hope to avoid too many levels of symbolic links' error if f.is_dir(): subfolders.append(f.path) elif f.is_file(): if os.path.splitext(f.name)[1].lower() in extensions: files.append(f.path) except Exception: pass except Exception: pass if recursive: for path in list(subfolders): sf, f = fast_scandir(path, extensions, recursive=recursive) subfolders.extend(sf) files.extend(f) # type: ignore return subfolders, files