skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech

EURASIP journal on advances in signal processing, 2015-07, Vol.2015 (1), p.1-12, Article 61 [Peer Reviewed Journal]

Cauchi et al. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. ;The Author(s) 2015 ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/s13634-015-0242-x

Full text available

Citations Cited by
  • Title:
    Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech
  • Author: Cauchi, Benjamin ; Kodrasi, Ina ; Rehr, Robert ; Gerlach, Stephan ; Jukić, Ante ; Gerkmann, Timo ; Doclo, Simon ; Goetze, Stefan
  • Subjects: 'Silencing the Echoes' – Processing of Reverberant Speech ; Algorithms ; Beamforming ; Engineering ; Noise ; Noise reduction ; Quantum Information Technology ; Signal,Image and Speech Processing ; Spectra ; Speech ; Speech processing ; Spintronics ; Statistics
  • Is Part Of: EURASIP journal on advances in signal processing, 2015-07, Vol.2015 (1), p.1-12, Article 61
  • Description: This paper presents a system aiming at joint dereverberation and noise reduction by applying a combination of a beamformer with a single-channel spectral enhancement scheme. First, a minimum variance distortionless response beamformer with an online estimated noise coherence matrix is used to suppress noise and reverberation. The output of this beamformer is then processed by a single-channel spectral enhancement scheme, based on statistical room acoustics, minimum statistics, and temporal cepstrum smoothing, to suppress residual noise and reverberation. The evaluation is conducted using the REVERB challenge corpus, designed to evaluate speech enhancement algorithms in the presence of both reverberation and noise. The proposed system is evaluated using instrumental speech quality measures, the performance of an automatic speech recognition system, and a subjective evaluation of the speech quality based on a MUSHRA test. The performance achieved by beamforming, single-channel spectral enhancement, and their combination are compared, and experimental results show that the proposed system is effective in suppressing both reverberation and noise while improving the speech quality. The achieved improvements are particularly significant in conditions with high reverberation times.
  • Publisher: Cham: Springer International Publishing
  • Language: English
  • Identifier: ISSN: 1687-6180
    ISSN: 1687-6172
    EISSN: 1687-6180
    DOI: 10.1186/s13634-015-0242-x
  • Source: Springer Nature OA/Free Journals
    ProQuest Central
    DOAJ Directory of Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait