Active noise control with speech enhancement using inverse notch filter

被引:0
作者
Nakatani, Kazuki [1 ]
Fujimoto, Taihei [1 ]
Kawamura, Arata [1 ]
Iiguni, Youji [1 ]
机构
[1] Graduate School of Engineering Science, Osaka University, 1-3, Machikaneyama, Toyonaka, Osaka
基金
日本学术振兴会;
关键词
Active noise control; Filtered-x lms; Inverse notch filter; Spectral gain; Speech enhancement;
D O I
10.1541/ieejeiss.135.244
中图分类号
学科分类号
摘要
This paper proposes an active noise control (ANC) system based on speech enhancement using inverse notch filter (INF). Conventional ANC systems remove an observed signal, even if it includes a desired speech signal. To extract the desired speech signal, we introduce a speech reduction method as pre-processing of the ANC system. In this case, the ANC produces only the noise replica, since the input signal to the ANC does not include the speech signal. We inversely use a speech enhancement technique to achieve speech reduction. One of the useful speech enhancement techniques is a spectral gain method. Inherently, the spectral gain method based on the FFT provides a delay depending on the analysis frame length. Since the ANC system can work well under a low processing delay, we replace the FFT with the INF which is a narrow band-pass filter for reducing processing delay. Simulation results show that the proposed ANC system with INF is effective to extract the speech signal included in the observed signal. © 2015 The Institute of Electrical Engineers of Japan.
引用
收藏
页码:244 / 253
页数:9
相关论文
共 21 条
[1]  
Moon S.P., Roh T.H., Chang T.G., A Feedback ANC Based Voice Enhancing Earmuffs System, IEEE International Conference on Consumer Electronics, 2013, pp. 395-396, (2013)
[2]  
Serizel R., Moonen M., Wouters J., Jensen S.H., A Speech Distortion Weighting Based Approach To Integrated Active Noise Control and Noise Reduction in Hearing Aids, Signal Processing, 93, 9, pp. 2440-2452, (2013)
[3]  
Kuo S.M., Morgan D.R., Active Noise Control Systems: Algorithms and DSP Implementations, (1996)
[4]  
Gaiotto S., A Tuning-Less Approach in Secondary Path Modeling in Active Noise Control Systems, IEEE Trans. on Audio, Speech and Language Processing, 21, 2, pp. 444-448, (2013)
[5]  
Ferrer M., Gonzalez A., Diego M., Pinero G., Convex Combination Filtered-X Algorithms for Active Noise Control Systems, IEEE Trans. on Audio, Speech and Language Processing, 21, 1, pp. 154-165, (2013)
[6]  
Elliott S.J., Stothers I.M., Nelson P.A., A multiple error LMS algorithm and its application to the active control of sound and vibration, IEEE Trans. on ASSP, ASSP-35, 10, pp. 1423-1434, (1987)
[7]  
Kumamoto M., Kida M., Hirayama R., Kajikawa Y., Active Noise Control System for Reducing MR Noise, IEICE Trans. Fandamentals, E94-A, 7, pp. 1479-1486, (2011)
[8]  
Kajikawa Y., Hirayama R., Feedback Active Noise Control System Combining Linear Prediction Filter, pp. 31-35, (2010)
[9]  
Boll S.F., Suppression of Acoustic Noise in Speech Using Spectral Subtraction, IEEE Trans. Acoustics, Speech, and Signal Processing, ASSP-27, 2, pp. 113-120, (1979)
[10]  
Ephraim Y., Malah D., Speech Enhancement Using a Minimum Mean Square Error Short-Time Spectral Amplitude Estimator, IEEE Trans. Acoustics, Speech, and Signal Processing, ASSP-32, 6, pp. 1109-1121, (1984)