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.

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