elimination of noise from acoustic signal using image processing
The speach recognition technology is suitable. Will try something like Spectrum Lab.
3-D (Time-X, Frequency -Y, Amplitude-Brightness or Color) picture. Regular regions correspond to signal (or regular noise) ;-).
Good Morning, Prashanth
As your question is vague, I would assume that you are not referring to removal of noise in acoustic sound imagery but to pure acoustic signals.
Here is a patent that has been granted recently and it can help you start thinking of how you can apply the knowledge taken from the patent.
https://www.google.com/patents/US8606571
My understanding is that you want to apply two-dimensional filtering to stereo sound ( or 3D filters to 3D sound).
2D filters can be applied as separable or non-separable. You can apply separable filters in each one of the dimensions and the non-separable 2d filters similar to the application in imaging. Sometimes you can apply their inverse form and use FFT.
Here is an example in an article from Ieee explore:
http://ieeexplore.ieee.org/abstract/document/391490/
Good luck, please do not hesitate to ask for more, Viara
Dear Prashanth,
another software that may help you is iZotope RX6. It contains powerful tools to filter and process in spectrogram domain (time-frequency). Moreover, Adobe Soundbooth has also time-spectrogram combined view that can help you to understand the spectrogram view.
Tonal noise removal is usually an easier task than broadband.
Regards,
Will
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