IIR Filter Design for De Nosing Speech Signal using Matlab IJTSRD
The design of filter has become the core issues of the signal processing. Generally speaking, filter can be divided into analog filter and digital filter. Today, the development of analog filter has been more mature. However, digital filter has many advantages, such as higher stability, higher precision. With the development of digital technology, using digital technology to realize filter function is widely used. A MATLAB based digital filter design procedure designs the filter and applied to the voice signal. In this project, the recorded speech with simulated noises is processed. The speech signal I Love Electronics is taken as the input signal. AWGN is added with the input speech signal. Two types of IIR filters Butterworth and Chebyshev are designed and are applied to the noisy speech signal. The magnitude response, phase response, impulse response and order of the filters are generated.
by Ohnmar Win “IIR Filter Design for De-Nosing Speech Signal using Matlab”
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,
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