English

asya: Mindful verbal communication using deep learning

Audio and Speech Processing 2020-08-21 v1 Human-Computer Interaction Machine Learning Sound

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.

Keywords

Cite

@article{arxiv.2008.08965,
  title  = {asya: Mindful verbal communication using deep learning},
  author = {Evalds Urtans and Ariel Tabaks},
  journal= {arXiv preprint arXiv:2008.08965},
  year   = {2020}
}
R2 v1 2026-06-23T17:59:27.944Z