ntnu-smil/LTTC-Dev-1764-0520

这是一个包含语音信号特征和相关文本信息的语音数据集，用于训练和评估语音相关模型。数据集特征包括说话者ID、表单ID、评分、分类、语音转录文本、音频文件路径、提示文本、示例文本、置信度分数、声学分数、语言模型分数等。此外，还包括音高、强度、静音时长、语音时长、词数、平均分数、阈值计数、能量标准差、频谱平均值、能量熵等声学特征。数据集分为训练集，并提供了默认配置。

This is a speech dataset containing speech signal features and related text information for training and evaluating speech-related models. Dataset features include speaker ID, form ID, score, classification, speech transcription text, audio file path, prompt text, example text, confidence score, acoustic score, language model score, etc. In addition, it includes acoustic features such as pitch, intensity, silence duration, speech duration, word count, average score, threshold count, standard deviation of energy, average spectral value, energy entropy, etc. The dataset is divided into training set and provides default configuration.