4 papers
Dynamic Processing Neural Network Architecture For Hearing Loss Compensation
Szymon Drgas, Lars Bramsløw, Archontis Politis +2
This paper proposes neural networks for compensating sensorineural hearing loss. The aim of the hearing loss compensation task is to transform a speech signal to increase speech in…
Interactive Lungs Auscultation with Reinforcement Learning Agent
Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas +2
To perform a precise auscultation for the purposes of examination of respiratory system normally requires the presence of an experienced doctor. With most recent advances in machin…
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection
Tomasz Grzywalski, Adam Maciaszek, Adam Biniakowski +8
In this article a DNN-based system for detection of three common voice disorders (vocal nodules, polyps and cysts; laryngeal neoplasm; unilateral vocal paralysis) is presented. The…
Using recurrences in time and frequency within U-net architecture for speech enhancement
Tomasz Grzywalski, Szymon Drgas
When designing fully-convolutional neural network, there is a trade-off between receptive field size, number of parameters and spatial resolution of features in deeper layers of th…