Speech enhancement via adaptive beamforming
Beamforming is an array signal processing technique for extracting signals from one or more directions while suppressing noise from other. Applications of the technique include direction-of-arrival (DOA) estimation of signal sources and directional signal enhancement. In the past decades, several...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2016
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| Online Access: | http://hdl.handle.net/10356/66088 |
| _version_ | 1824455062649307136 |
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| author | Shen, Huizhi |
| author2 | Andy Khong Wai Hoong |
| author_facet | Andy Khong Wai Hoong Shen, Huizhi |
| author_sort | Shen, Huizhi |
| collection | NTU |
| description | Beamforming is an array signal processing technique for extracting signals from one
or more directions while suppressing noise from other. Applications of the technique
include direction-of-arrival (DOA) estimation of signal sources and directional signal enhancement. In the past decades, several beamforming approaches have been
proposed. Among them, adaptive beamformer estimates the filter coefficients by utilizing knowledge of the signal and environment resulting in its popularity for a nonstationary environment. However, its performance can be degraded significantly due
to large number of interferers, room reverberation, and DOA mismatch.
Research work documented in this thesis aims to achieve robust speech source
extraction using single or distributed microphone arrays in a non-stationary environment with time-varying background noise and multiple speech interferers. In order to
reduce the sensitivity of adaptive beamformer to model mismatch, the probability of
interference and/or noise occurrence is first estimated and subsequently applied to the
optimization process, where only contributions from interference and noise are utilized
to ensure minimum distortion of the desired speech signal. The estimated coefficients
are then adjusted to relax the restriction of DOA for a reverberant environment. For
single array, this probability is obtained using properties of the Hermitian angle. For
distributed arrays, the mutual information provides knowledge of the presence of the
common desired signal. |
| first_indexed | 2025-02-19T03:32:14Z |
| format | Thesis |
| id | ntu-10356/66088 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:32:14Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/660882023-07-04T16:39:15Z Speech enhancement via adaptive beamforming Shen, Huizhi Andy Khong Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Beamforming is an array signal processing technique for extracting signals from one or more directions while suppressing noise from other. Applications of the technique include direction-of-arrival (DOA) estimation of signal sources and directional signal enhancement. In the past decades, several beamforming approaches have been proposed. Among them, adaptive beamformer estimates the filter coefficients by utilizing knowledge of the signal and environment resulting in its popularity for a nonstationary environment. However, its performance can be degraded significantly due to large number of interferers, room reverberation, and DOA mismatch. Research work documented in this thesis aims to achieve robust speech source extraction using single or distributed microphone arrays in a non-stationary environment with time-varying background noise and multiple speech interferers. In order to reduce the sensitivity of adaptive beamformer to model mismatch, the probability of interference and/or noise occurrence is first estimated and subsequently applied to the optimization process, where only contributions from interference and noise are utilized to ensure minimum distortion of the desired speech signal. The estimated coefficients are then adjusted to relax the restriction of DOA for a reverberant environment. For single array, this probability is obtained using properties of the Hermitian angle. For distributed arrays, the mutual information provides knowledge of the presence of the common desired signal. Master of Engineering 2016-03-10T01:56:51Z 2016-03-10T01:56:51Z 2016 Thesis Shen, H. (2016). Speech enhancement via adaptive beamforming. Master's thesis, Nanyang Technological University, Singapore. http://hdl.handle.net/10356/66088 en 71 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Shen, Huizhi Speech enhancement via adaptive beamforming |
| title | Speech enhancement via adaptive beamforming |
| title_full | Speech enhancement via adaptive beamforming |
| title_fullStr | Speech enhancement via adaptive beamforming |
| title_full_unstemmed | Speech enhancement via adaptive beamforming |
| title_short | Speech enhancement via adaptive beamforming |
| title_sort | speech enhancement via adaptive beamforming |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/66088 |
| work_keys_str_mv | AT shenhuizhi speechenhancementviaadaptivebeamforming |