Kavli Affiliate: Huawei Zhang
| First 5 Authors: Huawei Zhang, Huawei Zhang, , ,
| Summary:
Spatial audio signal enhancement aims to reduce interfering source
contributions while preserving the desired sound field with its spatial cues.
Existing methods generally rely on impractical assumptions (e.g. accurate
estimations of impractical information) or have limited applicability. This
paper presents a spherical harmonic (SH)-domain minimum variance distortionless
response (MVDR)-based spatial signal enhancer using Relative Harmonic
Coefficients (ReHCs) to extract clean SH coefficients from noisy recordings in
reverberant environments. A simulation study shows the proposed method achieves
lower estimation error, higher speech-distortion-ratio (SDR), and comparable
noise reduction (NR) within the sweet area in a reverberant environment,
compared to a beamforming-and-projection method as the baseline.
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