TY - JOUR

T1 - A speech enhancement technique using Kalman filter with state vector of time-frequency patterns

AU - Nishimura, Ryouichi

AU - Asano, Futoshi

AU - Suzuki, Yoiti

AU - Sone, Toshio

PY - 2001/4

Y1 - 2001/4

N2 - A new speech enhancement technique is proposed assuming that a speech signal is represented in terms of a linear probabilistic process and that a noise signal is represented in terms of a stationary random process. Since the target signal, i.e., speech, cannot be represented by a stationary random process, a Wiener filter does not yield an optimum solution to this problem regarding the minimum mean variance. Instead, a Kalman filter may provide a suitable solution in this case. In the Kalman filter, a signal is represented as a sequence of varying state vectors, and the transition is dominated by transition matrices. Our proposal is to construct the state vectors as well as the transition matrices based on time-frequency pattern of signals calculated by a wavelet transformation (WT). Computer simulations verify that the proposed technique has a high potential to suppress noise signals.

AB - A new speech enhancement technique is proposed assuming that a speech signal is represented in terms of a linear probabilistic process and that a noise signal is represented in terms of a stationary random process. Since the target signal, i.e., speech, cannot be represented by a stationary random process, a Wiener filter does not yield an optimum solution to this problem regarding the minimum mean variance. Instead, a Kalman filter may provide a suitable solution in this case. In the Kalman filter, a signal is represented as a sequence of varying state vectors, and the transition is dominated by transition matrices. Our proposal is to construct the state vectors as well as the transition matrices based on time-frequency pattern of signals calculated by a wavelet transformation (WT). Computer simulations verify that the proposed technique has a high potential to suppress noise signals.

KW - Kalman filter

KW - Speech enhancement

KW - Time-frequency pattern

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=0035311897&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035311897&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0035311897

VL - E84-A

SP - 1027

EP - 1033

JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

SN - 0916-8508

IS - 4

ER -