Verbal Communication: Noise Reduction and Characteristics Analysis Using Wavelet and Threshold Derivative Method

Noise reduction is a very difficult task but it has been a subject of intense research papers in recent years. Audio signal processing system is often suffering from noise troubles. Noise will seriously affect the quality of audio and even lead to audio processing failure. Simulation and results are performed in MATLAB R2012. In order to extract the desired speech signal from its corrupted signal, speech processing and communication systems are applied for effective noise reduction techniques. To avoid this noise troubles and quality degrades, noise reduction and characteristic analysis using discrete wavelet and threshold derivative method are used which improves the signal quality and to achieve high signal to noise ratio (SNR)