Speech De-Noising Using Ideal Binary Masking and Deep Neural Networks


Authors : Subhrajit Barui, Barsali Das, Dr.S Krithiga, Ishani Saha, Aditi Samanta.

Volume/Issue : Volume 4 - 2019, Issue 4 - April

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2YKMcfo

Noise reduction which is also known as speech enhancement algorithm improves one or more perceptual aspects of noisy speech, most notably, quality and intelligibility. Speech quality is a measure of how clear, natural and free of distortion the speech is. This project deals with two noise reduction algorithms: 1) Binary Masking Algorithm (BMA) 2) Deep Neural Networks (DNN). Binary Masking Algorithm (BMA):This algorithm is used to identify speech dominated and noise dominated units, using which a binary mask is calculated and applied to the noisy input spectrum to get the noise suppressed spectrum.

Keywords : Ideal Binary Masking, Deep Neural Network, Noise Quality, Oracle, Intelligibility.

CALL FOR PAPERS


Paper Submission Last Date
31 - March - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe