A Study on Effectiveness of Deep Neural Networks for Speech Signal Enhancement in Comparison with Wiener Filtering Technique

Padarti, Vijaya Kumar; Polavarapu, Gnana Sai; Madiraju, Madhurima; Nuthalapati, Naga Sai; Thota, Vinay Babu; Veeravalli, V. D. Subramanyam

doi:10.36227/techrxiv.14660199.v1

A Study on Effectiveness of Deep Neural Networks for Speech Signal Enhancement in Comparison with Wiener Filtering Technique.pdf (1.22 MB)

A Study on Effectiveness of Deep Neural Networks for Speech Signal Enhancement in Comparison with Wiener Filtering Technique

preprint

posted on 2021-05-28, 16:15 authored by Vijaya Kumar Padarti, Gnana Sai PolavarapuGnana Sai Polavarapu, Madhurima Madiraju, Naga Sai Nuthalapati, Vinay Babu Thota, V. D. Subramanyam Veeravalli

We have compared two Neural network models with Wiener filtering technique for Speech signal enhancement. Our paper intends to suggest the best method suitable for speech denoising and quality enhancement. We have utilized MATLAB software with most advanced toolboxes for building the models. For comparing our models, we computed PSNR and SNR values.