adaadig/LONG_sweepmetrics

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。

The dataset is a collection of audio features suitable for audio signal processing and automatic speech recognition tasks. Dataset features include transcript text, filename, signal-to-noise ratio, speech duration, number of non-speech segments detected by VAD, SDR, PESQ, STOI, mean pitch, pitch standard deviation, ASR system transcripts and error rates for different systems, insertion, substitution, deletion errors, various objective speech quality assessment metrics, etc. The dataset is split into a training set with a total of 100 audio examples.