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Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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A Real-Time Dual-Microphone Speech Enhancement Algorithm Assisted by Bone Conduction Sensor.

Yi Zhou1, Yufan Chen1, Yongbao Ma2

  • 1School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Sensors (Basel, Switzerland)
|September 9, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a novel real-time speech enhancement system for wearable devices. It uses a dual-microphone, bone-conduction sensor and a neural network to significantly improve speech quality and intelligibility in noisy environments.

Keywords:
array signal processingbeamformingbone conductiondeep learningreal timespeech enhancement

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Area of Science:

  • Signal Processing
  • Machine Learning
  • Wearable Technology

Background:

  • Internet voice calls suffer from background noise, impairing speech quality and intelligibility.
  • Wearable smart devices require efficient real-time speech enhancement solutions.

Purpose of the Study:

  • To develop a dual-microphone, bone-conduction (BC) sensor assisted beamformer and a simple recurrent unit (SRU)-based neural network postfilter for real-time speech enhancement.
  • To improve speech quality and intelligibility in noisy environments for wearable devices.

Main Methods:

  • Utilized a BC sensor, insensitive to environmental noise, for accurate voice activity detection (VAD).
  • Incorporated VAD into adaptive noise canceller (ANC) and adaptive block matrix (ABM).
  • Developed an SRU-based neural network postfilter with sub-band signal processing and scale-invariant signal-to-distortion ratio (SI-SDR) loss function.

Main Results:

  • The proposed system achieved significant improvements in speech sound quality and intelligibility.
  • Enhancements were observed across all noise types and levels.
  • Outperformed traditional air-conduction (AC)-only beamformers with postfiltering.

Conclusions:

  • The dual-microphone, BC-assisted beamformer with an SRU-based postfilter offers an effective solution for real-time speech enhancement.
  • The system is computationally efficient and provides superior performance for wearable smart devices in noisy conditions.