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arXiv 1909.02851eess.AScs.CLcs.LGcs.SDstat.ML

Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations

Avaya(Avaya公司);Wrocław University of Science and Technology(弗罗茨瓦夫理工大学);Poznan University of Technology(波兹南理工大学);AGH University of Science and Technology(AGH科技大学)
Jan Mizgajski, Adrian Szymczak, Robert Głowski, Piotr Szymański, Piotr Żelasko, Łukasz Augustyniak, Mikołaj Morzy, Yishay Carmiel, Jeff Hodson, Łukasz Wójciak, … 展开作者

Jan Mizgajski, Adrian Szymczak, Robert Głowski, Piotr Szymański, Piotr Żelasko, Łukasz Augustyniak, Mikołaj Morzy, Yishay Carmiel, Jeff Hodson, Łukasz Wójciak, Daniel Smoczyk, Adam Wróbel, Bartosz Borowik, Adam Artajew, Marcin Baran, Cezary Kwiatkowski, Marzena Żyła-Hoppe

英文摘要:

Avaya Conversational Intelligence(ACI) is an end-to-end, cloud-based solution for real-time Spoken Language Understanding for call centers. It combines large vocabulary, real-time speech recognition, transcript refinement, and entity and intent recognition in order to convert live audio into a rich, actionable stream of structured events. These events can be further leveraged with a business rules engine, thus serving as a foundation for real-time supervision and assistance applications. After the ingestion, calls are enriched with unsupervised keyword extraction, abstractive summarization, and business-defined attributes, enabling offline use cases, such as business intelligence, topic mining, full-text search, quality assurance, and agent training. ACI comes with a pretrained, configurable library of hundreds of intents and a robust intent training environment that allows for efficient, cost-effective creation and customization of customer-specific intents.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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