TY - GEN
T1 - Analysis of the frequency-domain wiener filter with the prediction gain
AU - Chen, Jingdong
AU - Benesty, Jacob
AU - Huang, Yiteng
PY - 2010
Y1 - 2010
N2 - This paper presents a theoretical analysis on the performance of the optimal noise-reduction filter in the frequency domain. Using the autoregressive (AR) model to model both the clean speech and noise, we build the relationship between the Wiener filter and the AR parameters of the clean speech and noise signals. We show that if noise is not predictable, the Wiener filter is mostly related to the AR parameters of the desired speech signal. On the contrary, if the desired signal is not predictable, the Wiener filter is then mostly related to the AR parameters of the noise signal. More importantly, we provide the bounds for noise reduction, speech distortion, and SNR improvement, and show that the performance of the Wiener filter in terms of SNR improvement and degree of noise reduction and speech distortion is closely related to the prediction gain of the desired speech and noise signals.
AB - This paper presents a theoretical analysis on the performance of the optimal noise-reduction filter in the frequency domain. Using the autoregressive (AR) model to model both the clean speech and noise, we build the relationship between the Wiener filter and the AR parameters of the clean speech and noise signals. We show that if noise is not predictable, the Wiener filter is mostly related to the AR parameters of the desired speech signal. On the contrary, if the desired signal is not predictable, the Wiener filter is then mostly related to the AR parameters of the noise signal. More importantly, we provide the bounds for noise reduction, speech distortion, and SNR improvement, and show that the performance of the Wiener filter in terms of SNR improvement and degree of noise reduction and speech distortion is closely related to the prediction gain of the desired speech and noise signals.
KW - Autoregressive model
KW - Noise reduction
KW - Prediction gain
KW - Wiener filter
UR - http://www.scopus.com/inward/record.url?scp=78049403783&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2010.5496034
DO - 10.1109/ICASSP.2010.5496034
M3 - 会议稿件
AN - SCOPUS:78049403783
SN - 9781424442966
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 209
EP - 212
BT - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Y2 - 14 March 2010 through 19 March 2010
ER -