该数据集是一个包含多个音频特征的集合，适用于音频信号处理和自动语音识别任务。数据集特征包括转录文本、文件名、信噪比、语音时长、VAD检测到的非语音段数、SDR、PESQ、STOI、平均音高、音高标准差、不同ASR系统的转录文本和错误率、插入、替换、删除错误、多种客观语音质量评估指标等。数据集划分为训练集，共有100个音频示例。

Hugging Face2025-02-06 更新50

distilled-from-one-sec-cv12/chunk_231

机器学习

音频信号处理

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1239131664 num_examples: 241452

Hugging Face2023-05-29 更新110

Identification of Beehive Piping Audio Signals

蜜蜂声学

音频信号处理

We introduce a novel dataset of bee piping audio signals which was built by collecting 44 different recordings which were published by various beekeepers on the YouTube platform.Each recording has a d

DataCite Commons2021-10-04 更新70

Acoustic features extracted by the PyAudioAnalysis library [4].

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