Noise Reduction and Echo Cancellation Using Threshold Filters in Hands Free Communication Systems
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 7
Abstract
Background noise, far-end acoustic echo, and room reverberation dramatically degrade the performance of many hands-free speech communication systems, in practical environments. For example, for automatic speech recognition system, noises result in the mismatch between the training and testing conditions, further degrading the performance of recognition system in real-world conditions. The threshold filtering can be executed with the help of mask windows of different sizes. For this, first we have to detect the noisy pixel, if the detected pixel is contaminated it can be identified by the homogeneity level of the local region around that pixel. Suppose the signal is corrupted by noise, which means the pixel value, is both 0 and 255 then we must calculate the threshold value and compare it with the neighbouring upper and lower pixels and find out which of them is homogeneous with the threshold value and replace the pixel with that value. In addition to hands-free speech communication systems, the proposed threshold filter system in this thesis is also useful and preferable to many other applications. For example, for speech recognition systems, it is able to improve the recognition accuracy of the received speech signals in adverse environments.
Authors and Affiliations
Ankita Shukla, Dr. Vineeta Saxena Nigam
Keywords
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- EP ID EP394995
- DOI 10.9790/9622-0807043337.
- Views 126
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