%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