TY - GEN
T1 - A cepstral PDF normalization method for noise robust speech recognition
AU - Suk, Yong Ho
AU - Choi, Seung Ho
PY - 2011
Y1 - 2011
N2 - In this paper, we propose a novel cepstrum normalization method based on the scoring procedure of order statistics for speech recognition in additive noise environments. The conventional methods normalize the mean and/or variance of the cepstrum, which results in an incomplete normalization of the probability density function (PDF). The proposed method fully normalizes the PDF of the cepstrum, providing an identical PDF between clean and noisy cepstrum. For the target PDF, the generalized Gaussian distribution is selected to consider various densities. In recognition phase, a table lookup method is devised in order to save computational costs. From the speaker-independent isolated-word recognition experiments, we show that the proposed method gives improved performance compared with that of the conventional methods, especially in heavy noise environments.
AB - In this paper, we propose a novel cepstrum normalization method based on the scoring procedure of order statistics for speech recognition in additive noise environments. The conventional methods normalize the mean and/or variance of the cepstrum, which results in an incomplete normalization of the probability density function (PDF). The proposed method fully normalizes the PDF of the cepstrum, providing an identical PDF between clean and noisy cepstrum. For the target PDF, the generalized Gaussian distribution is selected to consider various densities. In recognition phase, a table lookup method is devised in order to save computational costs. From the speaker-independent isolated-word recognition experiments, we show that the proposed method gives improved performance compared with that of the conventional methods, especially in heavy noise environments.
KW - Cepstrum normalization
KW - generalized Gaussian distribution
KW - noisy speech recognition
KW - order statistics
UR - http://www.scopus.com/inward/record.url?scp=80052343816&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-23324-1_7
DO - 10.1007/978-3-642-23324-1_7
M3 - Conference contribution
AN - SCOPUS:80052343816
SN - 9783642233234
T3 - Communications in Computer and Information Science
SP - 34
EP - 39
BT - Advances in Computer Science, Environment, Ecoinformatics, and Education - International Conference, CSEE 2011, Proceedings
T2 - International Conference on Advances in Computer Science, Environment, Ecoinformatics, and Education, CSEE 2011
Y2 - 21 August 2011 through 22 August 2011
ER -