paddleaudio.datasets.esc50 模块

class paddleaudio.datasets.esc50.ESC50(mode: str = 'train', split: int = 1, feat_type: str = 'raw', **kwargs)[来源]

ESC-50 数据集是一个标签化的2000个环境音频录音集合，适用于环境声音分类方法的基准测试。该数据集由50个语义类别的5秒长录音组成（每个类别40个示例）

方法

META_INFO 的别名

archieves = [{'url': 'https://paddleaudio.bj.bcebos.com/datasets/ESC-50-master.zip', 'md5': '7771e4b9d86d0945acce719c7a59305a'}]

label_list = ['Dog', 'Rooster', 'Pig', 'Cow', 'Frog', 'Cat', 'Hen', 'Insects (flying)', 'Sheep', 'Crow', 'Rain', 'Sea waves', 'Crackling fire', 'Crickets', 'Chirping birds', 'Water drops', 'Wind', 'Pouring water', 'Toilet flush', 'Thunderstorm', 'Crying baby', 'Sneezing', 'Clapping', 'Breathing', 'Coughing', 'Footsteps', 'Laughing', 'Brushing teeth', 'Snoring', 'Drinking, sipping', 'Door knock', 'Mouse click', 'Keyboard typing', 'Door, wood creaks', 'Can opening', 'Washing machine', 'Vacuum cleaner', 'Clock alarm', 'Clock tick', 'Glass breaking', 'Helicopter', 'Chainsaw', 'Siren', 'Car horn', 'Engine', 'Train', 'Church bells', 'Airplane', 'Fireworks', 'Hand saw']