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首页> 外文期刊>Journal of Business Research >Voice analytics in business research: Conceptual foundations, acoustic feature extraction, and applications
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Voice analytics in business research: Conceptual foundations, acoustic feature extraction, and applications

机译：商业研究中的语音分析：概念基础，声学特征提取和应用

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摘要

Recent advances in artificial intelligence and natural language processing are gradually transforming how humans search, shop, and express their preferences. Leveraging the new affordances and modalities of human-machine interaction through voice-controlled interfaces will require a nuanced understanding of the physics and psychology of speech formation as well as the systematic extraction and analysis of vocal features from the human voice. In this paper, we first develop a conceptual framework linking vocal features in the human voice to experiential outcomes and emotional states. We then illustrate the effective processing, editing, analysis, and visualization of voice data based on an Amazon Alexa user interaction, utilizing state-of-the-art signal-processing packages in R. Finally, we offer novel insight into the ways in which business research might employ voice and sound analytics moving forward, including a discussion of the ethical implications of building multi-modal databases for business and society.
机译：人工智能和自然语言处理的最新进步正在逐步改变人类搜索，商店和表达他们的喜好。利用语音控制界面利用人机相互作用的新可获得和方式将需要对语音形成的物理和心理学以及人类声音的系统提取和分析对语音形成的细节和分析。在本文中，我们首先制定一个将人声带中的概念框架与体验成果和情绪状态联系起来。然后，我们根据亚马逊Alexa用户交互来说明语音数据的有效处理，编辑，分析和可视化，利用R的最新信号处理包。最后，我们提供了新的洞察力业务研究可能采用声音和声音分析向前迈进，包括讨论建立商业和社会的多模态数据库的道德含义。

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