Prof-Life-Log: Personal interaction analysis for naturalistic audio streams
Prof-Life-Log: Personal interaction analysis for naturalistic audio streams
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Prof-Life-Log：自然音频流的个人交互分析
DOI：
10.1109/icassp.2013.6639176
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
J. Hansen
中科院分区：
文献类型：
--
作者：
A. Ziaei;A. Sangwan;J. Hansen
个人录音分析是一个具有挑战性且有趣的课题。使用当代语音和语言处理技术，可以挖掘个人录音以获取大量信息，这些信息可用于衡量一个人与环境以及其他人的参与度。在本研究中，我们提出了一种分析系统，该系统使用个人录音来自动估计包含录音中总参与度的独特人员和环境的数量。所提出的系统使用语音活动检测（SAD）、说话者二值化和环境嗅探技术，并在来自 Prof-Life-Log 语料库的自然音频流上进行评估。我们还报告各个系统的性能，并提出综合分析，揭示主体与人和环境的相互作用。因此，这项研究确立了使用当代语音技术进行生活记录应用的有效性和新颖性。
Analysis of personal audio recordings is a challenging and interesting subject. Using contemporary speech and language processing techniques, it is possible to mine personal audio recordings for a wealth of information that can be used to measure a person's engagement with their environment as well as other people. In this study, we propose an analysis system that uses personal audio recordings to automatically estimate the number of unique people and environments which encompass the total engagement within the recording. The proposed system uses speech activity detection (SAD), speaker diarization and environmental sniffing techniques, and is evaluated on naturalistic audio streams from the Prof-Life-Log corpus. We also report performance of the individual systems, and also present a combined analysis which reveals the interaction of the subject with both people and environment. Hence, this study establishes the efficacy and novelty of using contemporary speech technology for life logging applications.