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Using prosodic features to prioritize voice messages
Citation key polzehl2008a
Author Polzehl, Tim and Metze, Florian
Year 2008
How Published full
Abstract This paper presents a preliminary study to classify voice messages left by callers to a call center into semantic cate- gories by evaluating prosodic information on about 10 seconds of speech only. We analyze the variation of supra- segmental features such as f0 and loudness of more then 400 calls and find that this information should be sufficient to map calls to semantic categories defined previously, at least for the purpose of prioritizing further call processing. Prioritization is important in order to make efficient use of resources that would lay idle otherwise.
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