EasyCall corpus：构音障碍语音数据集
EasyCall corpus: a dysarthric speech dataset
摘要：
本文介绍了一个新的构音障碍的语音命令数据集在意大利语，称为EasyCall语料库。该数据集由21386个音频记录从24个健康和31构音障碍的扬声器，其个人程度的语言障碍的神经学家通过治疗结果的措施进行了评估。该语料库旨在为构音障碍患者开发基于ASR的辅助技术提供资源。特别是，可以利用它来开发用于商业智能手机的语音控制联系应用程序，旨在提高构音障碍患者与家人和护理人员沟通的能力。在记录数据集之前，参与者进行了一项调查，以评估哪些命令更有可能被构音障碍者在语音控制的接触应用程序中使用。此外，数据集包括非命令列表（即，命令附近/内部或语音上接近命令的单词），其可被利用来构建更鲁棒的命令识别系统。目前，商业ASR系统表现不佳的EasyCall语料库，我们在本文中报告。这一结果证实了需要构音障碍的语音语料库开发有效的辅助技术。据我们所知，这个数据库代表了迄今为止最丰富的构音障碍语音语料库。
英文摘要：
This paper introduces a new dysarthric speech command dataset in Italian, called EasyCall corpus. The dataset consists of 21386 audio recordings from 24 healthy and 31 dysarthric speakers, whose individual degree of speech impairment was assessed by neurologists through the Therapy Outcome Measure. The corpus aims at providing a resource for the development of ASR-based assistive technologies for patients with dysarthria. In particular, it may be exploited to develop a voice-controlled contact application for commercial smartphones, aiming at improving dysarthric patients' ability to communicate with their family and caregivers. Before recording the dataset, participants were administered a survey to evaluate which commands are more likely to be employed by dysarthric individuals in a voice-controlled contact application. In addition, the dataset includes a list of non-commands (i.e., words near/inside commands or phonetically close to commands) that can be leveraged to build a more robust command recognition system. At present commercial ASR systems perform poorly on the EasyCall Corpus as we report in this paper. This result corroborates the need for dysarthric speech corpora for developing effective assistive technologies. To the best of our knowledge, this database represents the richest corpus of dysarthric speech to date.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
