Binaural loudness based speech reinforcement with a closed-form solution

Ho Seon Shin, Min Seok Choi, Taesu Kim, Hong-Goo Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
Pages4274-4277
Number of pages4
DOIs
Publication statusPublished - 2010 Nov 8
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: 2010 Mar 142010 Mar 19

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
CountryUnited States
CityDallas, TX
Period10/3/1410/3/19

Fingerprint

Reinforcement
Computational complexity
Communication systems
Signal processing

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Shin, H. S., Choi, M. S., Kim, T., & Kang, H-G. (2010). Binaural loudness based speech reinforcement with a closed-form solution. In 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings (pp. 4274-4277). [5495682] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2010.5495682
Shin, Ho Seon ; Choi, Min Seok ; Kim, Taesu ; Kang, Hong-Goo. / Binaural loudness based speech reinforcement with a closed-form solution. 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings. 2010. pp. 4274-4277 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).
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Shin, HS, Choi, MS, Kim, T & Kang, H-G 2010, Binaural loudness based speech reinforcement with a closed-form solution. in 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings., 5495682, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4274-4277, 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, Dallas, TX, United States, 10/3/14. https://doi.org/10.1109/ICASSP.2010.5495682

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 proceedingConference contribution

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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.

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Shin HS, Choi MS, Kim T, Kang H-G. Binaural loudness based speech reinforcement with a closed-form solution. In 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). https://doi.org/10.1109/ICASSP.2010.5495682