  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.
