中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform

文献类型:期刊论文

作者Simone Hantke3,4; Tobias Olenyi4; Christoph Hausner2; Tobias Appel2; Björn Schuller1,4
刊名International Journal of Automation and Computing
出版日期2019
卷号16期号:4页码:427-436
关键词Human computation speech analysis crowdsourcing gamified data collection survey.
ISSN号1476-8186
DOI10.1007/s11633-019-1180-0
英文摘要In this contribution, we present iHEARu-PLAY, an online, multi-player platform for crowdsourced database collection and labelling, including the voice analysis application (VoiLA), a free web-based speech classification tool designed to educate iHEARu-PLAY users about state-of-the-art speech analysis paradigms. Via this associated speech analysis web interface, in addition, VoiLA encourages users to take an active role in improving the service by providing labelled speech data. The platform allows users to record and upload voice samples directly from their browser, which are then analysed in a state-of-the-art classification pipeline. A set of pre-trained models targeting a range of speaker states and traits such as gender, valence, arousal, dominance, and 24 different discrete emotions is employed. The analysis results are visualised in a way that they are easily interpretable by laymen, giving users unique insights into how their voice sounds. We assess the effectiveness of iHEARu-PLAY and its integrated VoiLA feature via a series of user evaluations which indicate that it is fun and easy to use, and that it provides accurate and informative results.
源URL[http://ir.ia.ac.cn/handle/173211/42348]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Group on Language, Audio & Music (GLAM), Department of Computing, Imperial College, London SW7 2AZ, UK
2.audEERING GmbH, Gilching, Germany
3.Machine Intelligence & Signal Processing Group, Technische Universität München, München, Germany
4.ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany
推荐引用方式
GB/T 7714
Simone Hantke,Tobias Olenyi,Christoph Hausner,et al. Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform[J]. International Journal of Automation and Computing,2019,16(4):427-436.
APA Simone Hantke,Tobias Olenyi,Christoph Hausner,Tobias Appel,&Björn Schuller.(2019).Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform.International Journal of Automation and Computing,16(4),427-436.
MLA Simone Hantke,et al."Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform".International Journal of Automation and Computing 16.4(2019):427-436.

入库方式: OAI收割

来源:自动化研究所

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