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Updated: Aug 5, 2026

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Three-dimensional Optical-resolution Photoacoustic Microscopy
Published on: May 3, 2011
Single-point optical-vibration sensing system for deep-learning-based stereo sound synthesis
Kuo-Wei Chao1, Ji-Yan Han1, Jia-Wei Chen1
1Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taiwan.
The Journal of the Acoustical Society of America
|August 3, 2026
Summary
This study introduces a novel deep learning system for stereo sound synthesis using laser Doppler vibrometry. The innovative method effectively reconstructs directional sound from vibration data, enhancing audio experiences.
Area of Science:
- Acoustics and Signal Processing
- Machine Learning for Audio Synthesis
- Vibrometry and Sensor Technology
Background:
- Traditional stereo recording using microphone arrays faces limitations in distance, noise, and setup complexity.
- Stereo sound significantly improves sound source localization and auditory immersion.
- Binaural hearing cues, such as interaural level difference (ILD) and interaural time difference (ITD), are crucial for stereo perception.
Purpose of the Study:
- To propose a novel deep-learning-based stereo sound synthesis system.
- To address the limitations of conventional stereo recording methods.
- To demonstrate the feasibility of synthesizing stereo sound from monophonic vibration signals.
Main Methods:
- Utilizing a laser Doppler vibrometer to capture monophonic vibration signals.
- Verifying the presence of encoded binaural hearing cues (ILD, ITD) within vibration signals.
- Employing a gated convolutional neural network for stereo sound synthesis from vibration data.
Main Results:
- Achieved high directional sound reconstruction rates (97.7%-98.8%) from single-point vibration data.
- Demonstrated scale-invariant signal-to-distortion ratio improvements of 2.64 (inside) and 3.52 (outside) in stereo music synthesis.
- Subjective evaluations showed significant increases in pleasantness (44.5%) and stereoscopic sense (57.0%).
Conclusions:
- The proposed deep learning system effectively synthesizes stereo sound from laser Doppler vibrometer signals.
- Monophonic vibration signals contain sufficient binaural cues for accurate stereo sound reconstruction.
- This approach offers a promising alternative to traditional stereo recording, enhancing audio quality and user experience.
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