GTC dataset

该数据集来源于英伟达主题演讲，专注于计算机科学和工程领域，包含了大量的独特术语和产品名称。数据集还包括时长从2秒到35秒不等的音频文件片段，以及一个基于高频词汇和短语识别统计的上下文偏置列表。规模上，该数据集分为3小时的开发集和7小时的测试集。任务旨在为自动语音识别（ASR）进行上下文偏置。

This dataset is sourced from NVIDIA's keynote speeches, focusing on the field of computer science and engineering, and contains a large number of unique technical terms and product names. The dataset also includes audio clips with durations ranging from 2 seconds to 35 seconds, as well as a context bias list based on recognition statistics of high-frequency vocabulary and phrases. In terms of scale, the dataset is divided into a 3-hour development set and a 7-hour test set. The task aims to perform context bias for automatic speech recognition (ASR).