%0 Journal Article %A Sangjun Park and Jungpyo Hong and Byung-Ok Kang and Yun-keun Lee and Minsoo Hahn %D 2012 %J International Journal of Electrical and Computer Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 70, 2012 %T Puff Noise Detection and Cancellation for Robust Speech Recognition %U https://publications.waset.org/pdf/10021 %V 70 %X In this paper, an algorithm for detecting and attenuating puff noises frequently generated under the mobile environment is proposed. As a baseline system, puff detection system is designed based on Gaussian Mixture Model (GMM), and 39th Mel Frequency Cepstral Coefficient (MFCC) is extracted as feature parameters. To improve the detection performance, effective acoustic features for puff detection are proposed. In addition, detected puff intervals are attenuated by high-pass filtering. The speech recognition rate was measured for evaluation and confusion matrix and ROC curve are used to confirm the validity of the proposed system. %P 1202 - 1206