asya: Mindful verbal communication using deep learning

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Authors Evalds Urtans, Ariel Tabaks arXiv ID 2008.08965 Category eess.AS: Audio & Speech Cross-listed cs.HC, cs.LG, cs.SD Citations 1 Venue arXiv.org Last Checked 3 months ago
Abstract
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.
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