H Huang

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The work in this project is focused on the development of a neuro-fuzzy approach to remove spectral noise from audio signals. There are three major components in our method. The first is based on the complex semi-cepstrum technique that is employed to extract features from audio signals. The second element is a fuzzy cerebellar model articulation controller(More)
Additive background noise and convolutive noise in the form of reverberation are two common types of noises in audio conferencing and hands-free telecommunication environments. In this project, we developed an efficient two-step adaptive noise reduction scheme to suppress these two types of noise. In particular, an Affine Projection Algorithm (APA) based(More)
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