Helmer Nylén

Detecting Signal Corruptions in Voice Recordings For Speech Therapy

In this article we design an experimental setup to detect disturbances in voice recordings, such as additive noise, clipping, infrasound and random muting. The datasets are generated by introducing degradations into clean recordings. We test five different classification algorithms in both single- a…