Bone-Conduction Sensor Assisted Noise Estimation for Improved Speech Enhancement

Ching-Hua Lee, Bhaskar D. Rao, Harinath Garudadri

State-of-the-art noise power spectral density (PSD) estimation techniques for speech enhancement utilize the so-called speech presence probability (SPP). However, in highly non-stationary environments, SPP-based techniques could still suffer from inaccurate estimation, leading to significant amount of residual noise or speech distortion. In this paper, we propose to improve speech enhancement by deploying the bone-conduction (BC) sensor, which is known to be relatively insensitive to the environmental noise compared to the regular air-conduction (AC) microphone. A strategy is suggested to utilized the BC sensor characteristics for assisting the AC microphone in better SPP-based noise estimation. To our knowledge, no previous work has incorporated the BC sensor in this noise estimation aspect. Consequently, the proposed strategy can possibly be combined with other BC sensor assisted speech enhancement techniques. We show the feasibility and potential of the proposed method for improving the enhanced speech quality by both objective and subjective tests.

 DOI: 10.21437/Interspeech.2018-1046

Cite as: Lee, C., Rao, B.D., Garudadri, H. (2018) Bone-Conduction Sensor Assisted Noise Estimation for Improved Speech Enhancement. Proc. Interspeech 2018, 1180-1184, DOI: 10.21437/Interspeech.2018-1046.

  author={Ching-Hua Lee and Bhaskar D. Rao and Harinath Garudadri},
  title={Bone-Conduction Sensor Assisted Noise Estimation for Improved Speech Enhancement},
  booktitle={Proc. Interspeech 2018},