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
Abstract :
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.
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.