Abstract
This paper addresses a perceptual signal processing to far-end speech signal in communication systems under near-end environmental noise conditions. Based on the binaural perceptual loudness model, the proposed speech reinforcement system achieves better speech quality and clearness. To effectively reflect the noise influence to both ears, the proposed method utilizes a noise level difference between open and receiver side ear. Its computational complexity is also reduced by deriving an approximated closed-form solution while computing frequency-dependent gam factors. Test results confirm that the proposed system significantly enhances the clearness of target speech while maintaining speech quality compared to conventional monaural-based one.
| Original language | English |
|---|---|
| Title of host publication | 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings |
| Pages | 4274-4277 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2010 Nov 8 |
| Event | 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States Duration: 2010 Mar 14 → 2010 Mar 19 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
|---|---|
| ISSN (Print) | 1520-6149 |
Other
| Other | 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 |
|---|---|
| Country | United States |
| City | Dallas, TX |
| Period | 10/3/14 → 10/3/19 |
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All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering
Cite this
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Binaural loudness based speech reinforcement with a closed-form solution. / Shin, Ho Seon; Choi, Min Seok; Kim, Taesu; Kang, Hong-Goo.
2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings. 2010. p. 4274-4277 5495682 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Binaural loudness based speech reinforcement with a closed-form solution
AU - Shin, Ho Seon
AU - Choi, Min Seok
AU - Kim, Taesu
AU - Kang, Hong-Goo
PY - 2010/11/8
Y1 - 2010/11/8
N2 - This paper addresses a perceptual signal processing to far-end speech signal in communication systems under near-end environmental noise conditions. Based on the binaural perceptual loudness model, the proposed speech reinforcement system achieves better speech quality and clearness. To effectively reflect the noise influence to both ears, the proposed method utilizes a noise level difference between open and receiver side ear. Its computational complexity is also reduced by deriving an approximated closed-form solution while computing frequency-dependent gam factors. Test results confirm that the proposed system significantly enhances the clearness of target speech while maintaining speech quality compared to conventional monaural-based one.
AB - This paper addresses a perceptual signal processing to far-end speech signal in communication systems under near-end environmental noise conditions. Based on the binaural perceptual loudness model, the proposed speech reinforcement system achieves better speech quality and clearness. To effectively reflect the noise influence to both ears, the proposed method utilizes a noise level difference between open and receiver side ear. Its computational complexity is also reduced by deriving an approximated closed-form solution while computing frequency-dependent gam factors. Test results confirm that the proposed system significantly enhances the clearness of target speech while maintaining speech quality compared to conventional monaural-based one.
UR - http://www.scopus.com/inward/record.url?scp=78049409296&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78049409296&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2010.5495682
DO - 10.1109/ICASSP.2010.5495682
M3 - Conference contribution
SN - 9781424442966
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4274
EP - 4277
BT - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
ER -