论文标题
ISCSLP 2022智能驾驶舱语音识别挑战（ICSRC）：数据集，轨道，基线和结果
The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results
论文作者
论文摘要
本文总结了ISCSLP 2022智能驾驶舱语音识别挑战（ICSRC）的结果。我们首先解决了挑战的必要性，然后引入从新能力车辆（NEV）收集的相关数据集，该数据集涵盖了各种驾驶舱的声学条件和语言内容。然后，我们描述轨道布置和基线系统。具体而言，我们根据允许的模型/系统大小设置了两个曲目，以研究资源约束和不受限制的设置，分别针对嵌入的车辆和云ASR系统。最后，我们总结了挑战结果，并提供了提交系统的主要观察结果。
This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC). We first address the necessity of the challenge and then introduce the associated dataset collected from a new-energy vehicle (NEV) covering a variety of cockpit acoustic conditions and linguistic contents. We then describe the track arrangement and the baseline system. Specifically, we set up two tracks in terms of allowed model/system size to investigate resource-constrained and -unconstrained setups, targeting to vehicle embedded as well as cloud ASR systems respectively. Finally we summarize the challenge results and provide the major observations from the submitted systems.
