A wearable bone-conducted speech enhancement system for strong background noises

Wearable electronic systems have been and will continue to be utilized in both civil and military uses. Strong noise environments derived from large vehicles (e.g. ships, aircrafts, or military tanks) seriously affect the quality of speech communications especially for wearable systems without hermetic packaging. Bone conduction technology through the acquisition of skull vibration is able to obtain voice information, which can effectively avoid the interference of acoustic noise on the speech. In this paper, a high-performance wearable bone-conducted speech enhancement system is developed to reduce the distortion of the environment noises. Both bone-conducted and air-conducted voices are used to train the equalization function of bone-conducted speech to air-conducted speech based on the deep neural network, and spectrum coefficients of linear predictive coding is taken as feature information for conversion model.

[1]  Hong-Goo Kang,et al.  Survey of Speech Enhancement Supported by a Bone Conduction Microphone , 2012, ITG Conference on Speech Communication.

[2]  Shingo Kuroiwa,et al.  Speaker verification method using bone-conduction and air-conduction speech , 2009, 2009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

[3]  Li-Rong Dai,et al.  A Regression Approach to Speech Enhancement Based on Deep Neural Networks , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[4]  Ju Liu,et al.  Speech Signal Enhancement Based on MAP Algorithm in the ICA Space , 2008, IEEE Transactions on Signal Processing.

[5]  Ehud Weinstein,et al.  Iterative and sequential Kalman filter-based speech enhancement algorithms , 1998, IEEE Trans. Speech Audio Process..

[6]  Philipos C. Loizou,et al.  A Dual-Microphone Speech Enhancement Algorithm Based on the Coherence Function , 2012, IEEE Transactions on Audio, Speech, and Language Processing.