Title :
Analysis of Biquad Filter and Hilbert Filter in a Noise Removal Simulink Model
Author :
Jha, Animesh Kumar
Author_Institution :
Microsoft Technol. Excellence Group, Tata Consultancy Services, Mumbai, India
Abstract :
Often some noise signals get interleaved with speech signals and owing to noisy surroundings the captured signal may not sound as desired. For such cases, a combination of Hilbert transform filter and Biquad filter in cascaded form might prove helpful. An arrangement in a simulink model demonstrates successful noise reduction in a voice signal recorded from a microphone. Both the filters used were of Direct Form structure, while the Hilbert filter was a Direct Form FIR, the Biquad was Direct Form II structure filter. The observations for speech signal as well as noise signals have been produced as results that show a significant noise removal.
Keywords :
FIR filters; Hilbert transforms; biquadratic filters; interference suppression; microphones; signal denoising; speech processing; Hilbert transform filter; biquad filter; direct form FIR structure; direct form II structure filter; microphone; noise removal simulink model; noise signal interleaving; speech signal capturing; voice signal recording; Biquad filter; noise; simulink;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.45