arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.08965eess.AScs.HCcs.LGcs.SD
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asya: Mindful verbal communication using deep learning

Riga Technical University(里加技术大学);University of Central Lancashire(中央兰开夏大学)

Evalds Urtans, Ariel Tabaks

英文摘要:

asya is a mobile application that consists of deep learning models which analyze spectra of a human voice and do noise detection, speaker diarization, gender detection, tempo estimation, and classification of emotions using only voice. All models are language agnostic and capable of running in real-time. Our speaker diarization models have accuracy over 95% on the test data set. These models can be applied for a variety of areas like customer service improvement, sales effective conversations, psychology and couples therapy.

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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