Paper Info
Title
Coherence based Dual Microphone Source Separation in Low SNR Noisy Environments
Abstract
A coherence function based dual-microphone source separation method in the adverse noisy environments is presented in this paper. The method is based on the coherence between the clean speech and noise signal for the noise reduction. The technique is applied to closely spaced microphones array and assumed that noise signals are captured by microphones are highly correlated. The presented technique is straightforward to realize and does not need any noise statistics estimation. The technique is evaluated in terms of the speech intelligibility, perceptual quality, segmental SNR (SNRSeg), speech distortion and residual noise objective measures. The experimental results indicate improved gains in perceptual quality, and speech intelligibility comparative to the noisy speech. Moreover, the presented technique yielded substantial improvements in terms of the SNRSeg, speech distortion and residual noise, respectively in low SNR (-5 and -10 dB) noisy environments than noisy speech. The time-varying spectral and time-domain waveform analysis indicated a low residual noise and less speech distortion in the spectrums of speech processed by the coherence based source separation technique.
Year
DOI
Venue
2018
10.1109/ICIS.2018.8466495
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)
Keywords
Field
DocType
Coherence Function,dual-microphone source separation,speech intelligibility,speech quality,speech distortion,residual noise
Speech enhancement,Noise reduction,Noise (signal processing),Noise measurement,Computer science,Signal-to-noise ratio,Speech recognition,Microphone,Source separation,Intelligibility (communication)
Conference
ISBN
Citations 
PageRank 
978-1-5386-5893-2
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Xuhui Chen111.36
Nasir Saleem2103.94
Muhammad-Naeem Irfan36829.98
Khalid Rabbani400.34