After intensive, long-term musical training, the auditory system of a musician is specifically tuned to perceive musical sounds. We wished to find out whether a musician's auditory system also develops increased sensitivity to any sound of everyday life, experiencing them as noise. For this purpose, an online survey, including questionnaires on noise sensitivity, musical background, and listeni...

We conduct an objective analysis on musical noise generated by two methods of integrating microphone array signal processing and spectral subtraction. To obtain better noise reduction, methods of integrating microphone array signal processing and nonlinear signal processing have been researched. However, nonlinear signal processing often generates musical noise. Since such musical noise causes ...

Speech enhancement techniques using spectral subtraction have the drawback of generating residual noise with a musical character, so-called musical noise. We developed a new post-processing method for suppressing this musical residual noise. In this method, the auditory masking threshold is calculated twice, once before the spectral subtraction and once again afterwards. This ensures that all a...

in order to the enhancement of the quality of speech corrupted by additive noise, a speech enhancement method has been put forward based on the combination of spectral subtraction and binary masking. spectral subtraction is a powerful method for removing noise from speech and binary masking provides essential elements to be used in monaural speech segregation. in the proposed combined method, f...

Speech enhancement techniques using spectral subtraction have the drawback of generating an annoying musical noise. We develop a new post-processing method for reducing it in each critical-band. In the proposed technique, the difference between tonality coefficients of the noisy speech and the denoised one constitutes one step for detection. Next, using a modified Johnston masking threshold, we...

Musical noise often arises in the outputs of time-frequency binary mask based blind source separation approaches. Postprocessing is desired to enhance the separation quality. An efficient musical noise reduction method by time-domain sparse filters is presented using convex optimization. The sparse filters are sought by l1 regularization and the split Bregman method. The proposed musical noise ...

A method of alleviating processing distortion caused by spectral subtraction is presented. It is well known that the spectral subtraction introduces annoying artifacts, which are referred to as undesirable musical noise, in the enhanced speech. The enhancement quality of the spectral subtraction quite depends on the performance of reducing the musical noise. Our approach exploits an adaptive fi...

Traditional noise reduction techniques have the drawback of generating an annoying musical noise. A new scheme for speech enhancement in high noise environment is developed by considering human auditory system masking characteristics. The new scheme considers the masking threshold of both noisy speech and the denoised one, to detect musical noise components. To make them inaudible, they are set...

Spectral Subtraction based speech denoising suffers the major problem of introduction of new type of noise called musical noise. In this paper we introduce a two stage algorithm for denoising of noisy speech signal by minimizing the musical noise and additive white Gaussian noise. The algorithm works in two stages. First spectral subtraction method is applied on the noisy speech signal after ap...

In this paper, we propose a method for enhancing speech corrupted by broadband noise. The method is based on the spectral subtraction technique. Besides reducing the noise conventional spectral subtraction introduces an annoying residual musical noise. To eliminate the musical noise we propose to introduce reduced varying scaling factor of spectral subtraction, with a following application of w...