A Blind Approach to Joint Noise and Acoustic Echo Cancellation
This paper introduces a new scheme which combines the popular blind signal separation (BSS) and a post-processor to jointly suppress noise and acoustic echo. The new L element structure uses the BSS as a front-end processor to spatially extract the target signal from the interference (noise and echo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Conference Management Services Pty Ltd
2005
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| Online Access: | http://hdl.handle.net/20.500.11937/4417 |
| _version_ | 1848744509857333248 |
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| author | Low, Siow Yong Nordholm, Sven |
| author2 | IEEE Signal Processing Society |
| author_facet | IEEE Signal Processing Society Low, Siow Yong Nordholm, Sven |
| author_sort | Low, Siow Yong |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper introduces a new scheme which combines the popular blind signal separation (BSS) and a post-processor to jointly suppress noise and acoustic echo. The new L element structure uses the BSS as a front-end processor to spatially extract the target signal from the interference (noise and echo). Statistical measures are then employed to select the target signal dominant signal from the BSS outputs. The remaining L − 1 BSS outputs (noise and echo dominant) and the existing far-end line echo are then used as the reference signals in an adaptive noise canceller (ANC) to temporally enhance the target signal. The novel structure bypasses the need for any a priori information whilst compensating the separation quality of the BSS temporally. Real room evaluations demonstrate the efficacy of the scheme in both noisy double-talk and non-double-talk situation. |
| first_indexed | 2025-11-14T06:02:36Z |
| format | Conference Paper |
| id | curtin-20.500.11937-4417 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:02:36Z |
| publishDate | 2005 |
| publisher | Conference Management Services Pty Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-44172017-09-13T14:46:23Z A Blind Approach to Joint Noise and Acoustic Echo Cancellation Low, Siow Yong Nordholm, Sven IEEE Signal Processing Society This paper introduces a new scheme which combines the popular blind signal separation (BSS) and a post-processor to jointly suppress noise and acoustic echo. The new L element structure uses the BSS as a front-end processor to spatially extract the target signal from the interference (noise and echo). Statistical measures are then employed to select the target signal dominant signal from the BSS outputs. The remaining L − 1 BSS outputs (noise and echo dominant) and the existing far-end line echo are then used as the reference signals in an adaptive noise canceller (ANC) to temporally enhance the target signal. The novel structure bypasses the need for any a priori information whilst compensating the separation quality of the BSS temporally. Real room evaluations demonstrate the efficacy of the scheme in both noisy double-talk and non-double-talk situation. 2005 Conference Paper http://hdl.handle.net/20.500.11937/4417 10.1109/ICASSP.2005.1415648 Conference Management Services Pty Ltd restricted |
| spellingShingle | Low, Siow Yong Nordholm, Sven A Blind Approach to Joint Noise and Acoustic Echo Cancellation |
| title | A Blind Approach to Joint Noise and Acoustic Echo Cancellation |
| title_full | A Blind Approach to Joint Noise and Acoustic Echo Cancellation |
| title_fullStr | A Blind Approach to Joint Noise and Acoustic Echo Cancellation |
| title_full_unstemmed | A Blind Approach to Joint Noise and Acoustic Echo Cancellation |
| title_short | A Blind Approach to Joint Noise and Acoustic Echo Cancellation |
| title_sort | blind approach to joint noise and acoustic echo cancellation |
| url | http://hdl.handle.net/20.500.11937/4417 |