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Sound Reinforcement Based on Context Awareness for Hearing Impaired  

Choi, Jae-Hun (Department of Electronics Engineering, Inha University)
Chang, Joon-Hyuk (Department of Electronic Engineering, Hanyang University)
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Abstract
In this paper, we apply a context awareness based on Gaussian mixture model (GMM) to a sound reinforcement for hearing impaired. In our approach, the harmful sound amplified through the sound reinforcement algorithm according to context awareness based on GMM which is constructed as Mel-frequency cepstral coefficients (MFCC) feature vector from sound data. According to the experimental results, the proposed approach is found to be effective in the various acoustic environments.
Keywords
Gaussian Mixture Model (GMM); Mel-Frequency Cepstral Coefficients (MFCC);
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