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The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
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Related Experiment Video

Updated: Oct 26, 2025

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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Bone-Conduction Sensor Assisted Noise Estimation for Improved Speech Enhancement.

Ching-Hua Lee1, Bhaskar D Rao1, Harinath Garudadri1

  • 1Department of Electrical and Computer Engineering University of California, San Diego.

Interspeech
|July 26, 2021
PubMed
Summary

This study introduces a novel speech enhancement method using bone-conduction (BC) sensors to improve noise estimation. By leveraging BC sensors alongside air-conduction (AC) microphones, the technique enhances speech presence probability (SPP) accuracy in noisy environments.

Keywords:
bone-conduction (BC)noise power spectral density (PSD) estimationspeech enhancementspeech presence probability (SPP)

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Area of Science:

  • Signal Processing
  • Acoustics
  • Speech Technology

Background:

  • Current speech enhancement methods rely on speech presence probability (SPP) for noise estimation.
  • SPP-based techniques struggle in non-stationary environments, causing residual noise and speech distortion.
  • Bone-conduction (BC) sensors offer noise resilience compared to air-conduction (AC) microphones.

Purpose of the Study:

  • To improve noise estimation for speech enhancement in challenging acoustic conditions.
  • To introduce a novel strategy utilizing BC sensors to assist AC microphones in SPP-based noise estimation.
  • To explore the potential of BC sensors for enhancing speech quality.

Main Methods:

  • Proposed a strategy to integrate BC sensor data with AC microphone data for noise estimation.
  • Focused on improving the accuracy of speech presence probability (SPP) estimation.
  • Evaluated the proposed method using objective and subjective tests.

Main Results:

  • Demonstrated the feasibility of using BC sensors for enhanced noise estimation.
  • Showcased potential improvements in speech enhancement compared to traditional methods.
  • Validated the effectiveness through objective and subjective performance evaluations.

Conclusions:

  • The proposed BC-assisted noise estimation strategy shows promise for improving speech enhancement.
  • This method offers a new approach to tackle noise estimation challenges in non-stationary environments.
  • The technique can be integrated with existing BC sensor-based speech enhancement systems.