A speech presence microphone array beamformer using model based speech presence probability estimation

Authors:
Tao Yu;John H. L. Hansen
Affiliations:
CRSS: Center of Robust Speech Systems, University of Texas at Dallas, 800 West Campbell Road, Richardson, 75080, USA;CRSS: Center of Robust Speech Systems, University of Texas at Dallas, 800 West Campbell Road, Richardson, 75080, USA
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

Citing 0
Cited 3

Spatial efficiency of blind source separation based on decorrelation - subjective and objective assessment

Speech Communication
Compressive speech enhancement

Speech Communication
A coherence-based noise reduction algorithm for binaural hearing aids

Speech Communication

Quantified Score

Hi-index	0.00

Visualization

Abstract

The purpose of this study is to investigate the performance of speech presence (SP) microphone array beamforming. When the presence uncertainty of the desired speech is considered, noise reduction is greatly achieved while preserving low speech distortion level. Furthermore, we propose a novel model based speech presence probability (SPP) estimator, exploring both the sinusoid structure of speech and signal-to-noise ratio (SNR). Finally, experiments verify the effectiveness of the proposed SP-beamformer, resulting in a better trade-off between speech distortion and noise leakage, and a corresponding higher output segmental SNR, when compared with the classical beamformers.