DocumentCode
3580473
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
fYear
2014
Firstpage
152
Lastpage
154
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN
978-1-4799-6928-9
Type
conf
DOI
10.1109/CICN.2014.45
Filename
7065464
Link To Document