The paper presents speech enhancement scheme for suppression of different background noises. The objective of speech enhancement is to improve the quality of the processed speech. This paper also investigate the use of two different transforms for speech enhancement. Speech enhancement using wiener filtering approach is presented using transforms DFT and DCT. The type of transform shows differe...

This paper presents new adaptive filtering techniques used in speech enhancement system. Adaptive filtering schemes are subjected to different trade-offs regarding their steady-state misadjustment, speed of convergence, and tracking performance. Fractional Least-Mean-Square (FLMS) is a new adaptive algorithm which has better performance than the conventional LMS algorithm. Normalization of LMS ...

Speech enhancement is challenging because of the diversity background noise types. Most existing methods are focused on modelling speech rather than noise. In this paper, we propose a novel idea to model and simultaneously in two-branch convolutional neural network, namely SN-Net. SN-Net, two branches predict noise, respectively. Instead information fusion only at final output layer, interactio...

In the problem of speech enhancement, where a speech signal is corrupted by.In this paper, we propose to combine the Kalman filter with a recent speech enhancement technique, called the phase spectrum compensation procedure, or.we present a class of Kalman filter-based algorithms with some extensions, modifications. These algorithms with alternative speech enhancement algorithms. Conversations ...

Speech enhancement is a long standing problem with various applications like hearing aids, automatic recognition and coding of speech signals. Single channel speech enhancement technique is used for enhancement of the speech degraded by additive background noises. The background noise can have an adverse impact on our ability to converse without hindrance or smoothly in very noisy environments,...