asya: Mindful verbal communication using deep learning
August 20, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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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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