Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform

doi:10.1007/s11633-019-1180-0

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform
	Simone Hantke 1,2; Tobias Olenyi 1; Christoph Hausner 3; Tobias Appel 3; Björn Schuller 1,4
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2019
卷号	16 期号:4 页码:427-436
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.
关键词	Human computation speech analysis crowdsourcing gamified data collection survey.
DOI	10.1007/s11633-019-1180-0
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42348
专题	学术期刊_Machine Intelligence Research
作者单位	1.ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany 2.Machine Intelligence & Signal Processing Group, Technische Universität München, München, Germany 3.audEERING GmbH, Gilching, Germany 4.Group on Language, Audio & Music (GLAM), Department of Computing, Imperial College, London SW7 2AZ, UK
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.

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