Speech Enhancement with Microphone Array Using Frequency-Domain Alignment Technique
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M. Stolbov, and S. Aleinik, "Speech Enhancement with Microphone Array Using Frequency-Domain Alignment Technique," Paper 5-1, (2014 June.). doi:
M. Stolbov, and S. Aleinik, "Speech Enhancement with Microphone Array Using Frequency-Domain Alignment Technique," Paper 5-1, (2014 June.). doi:
Abstract: A new adaptive technique for speech capturing in adverse conditions with microphone arrays is presented in this paper. The proposed technique is based on frequency-domain alignment of microphone signals with the output of fixed beamformer directed to the target speaker. This alignment procedure improves pattern directivity and reduces sidelobes. The low complexity of the technique is achieved by means of frequency-domain implementation of algorithms. This makes it possible to implement this technique in real-time forensic applications with a large number of microphones. This technique was evaluated on speech data corrupted by varying levels and directions of noise and interference. Experimental results with an 8-microphone array show suppression of diffuse noise by about 23 dB and suppression of wide band interference up to 17 dB.
@article{stolbov2014speech,
author={stolbov, mikhail and aleinik, sergei},
journal={journal of the audio engineering society},
title={speech enhancement with microphone array using frequency-domain alignment technique},
year={2014},
volume={},
number={},
pages={},
doi={},
month={june},}
@article{stolbov2014speech,
author={stolbov, mikhail and aleinik, sergei},
journal={journal of the audio engineering society},
title={speech enhancement with microphone array using frequency-domain alignment technique},
year={2014},
volume={},
number={},
pages={},
doi={},
month={june},
abstract={a new adaptive technique for speech capturing in adverse conditions with microphone arrays is presented in this paper. the proposed technique is based on frequency-domain alignment of microphone signals with the output of fixed beamformer directed to the target speaker. this alignment procedure improves pattern directivity and reduces sidelobes. the low complexity of the technique is achieved by means of frequency-domain implementation of algorithms. this makes it possible to implement this technique in real-time forensic applications with a large number of microphones. this technique was evaluated on speech data corrupted by varying levels and directions of noise and interference. experimental results with an 8-microphone array show suppression of diffuse noise by about 23 db and suppression of wide band interference up to 17 db.},}
TY - paper
TI - Speech Enhancement with Microphone Array Using Frequency-Domain Alignment Technique
SP -
EP -
AU - Stolbov, Mikhail
AU - Aleinik, Sergei
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - June 2014
TY - paper
TI - Speech Enhancement with Microphone Array Using Frequency-Domain Alignment Technique
SP -
EP -
AU - Stolbov, Mikhail
AU - Aleinik, Sergei
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - June 2014
AB - A new adaptive technique for speech capturing in adverse conditions with microphone arrays is presented in this paper. The proposed technique is based on frequency-domain alignment of microphone signals with the output of fixed beamformer directed to the target speaker. This alignment procedure improves pattern directivity and reduces sidelobes. The low complexity of the technique is achieved by means of frequency-domain implementation of algorithms. This makes it possible to implement this technique in real-time forensic applications with a large number of microphones. This technique was evaluated on speech data corrupted by varying levels and directions of noise and interference. Experimental results with an 8-microphone array show suppression of diffuse noise by about 23 dB and suppression of wide band interference up to 17 dB.
A new adaptive technique for speech capturing in adverse conditions with microphone arrays is presented in this paper. The proposed technique is based on frequency-domain alignment of microphone signals with the output of fixed beamformer directed to the target speaker. This alignment procedure improves pattern directivity and reduces sidelobes. The low complexity of the technique is achieved by means of frequency-domain implementation of algorithms. This makes it possible to implement this technique in real-time forensic applications with a large number of microphones. This technique was evaluated on speech data corrupted by varying levels and directions of noise and interference. Experimental results with an 8-microphone array show suppression of diffuse noise by about 23 dB and suppression of wide band interference up to 17 dB.
Authors:
Stolbov, Mikhail; Aleinik, Sergei
Affiliations:
National Research University of Information Technologies, Mechanics and Optics, St. Petersburg, Russia; Speech Technology Center, St. Petersburg, Russia(See document for exact affiliation information.)
AES Conference:
54th International Conference: Audio Forensics (June 2014)
Paper Number:
5-1
Publication Date:
June 12, 2014Import into BibTeX
Subject:
Speech Intelligibility
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=17322