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Bouserhal RE, Falk TH, Voix J. In-ear microphone speech quality enhancement via adaptive filtering and artificial bandwidth extension. J Acoust Soc Am. 2017;141(3):1321doi: 10.1121/1.4976051.
Bouserhal, R. E., Falk, T. H., & Voix, J. (2017). In-ear microphone speech quality enhancement via adaptive filtering and artificial bandwidth extension. The Journal of the Acoustical Society of America, 141(3), 1321. https://doi.org/10.1121/1.4976051
Bouserhal, Rachel E, et al. "In-ear microphone speech quality enhancement via adaptive filtering and artificial bandwidth extension." The Journal of the Acoustical Society of America vol. 141,3 (2017): 1321. doi: https://doi.org/10.1121/1.4976051
Bouserhal RE, Falk TH, Voix J. In-ear microphone speech quality enhancement via adaptive filtering and artificial bandwidth extension. J Acoust Soc Am. 2017 Mar;141(3):1321. doi: 10.1121/1.4976051. PMID: 28372069.
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J Acoust Soc Am. 2017 Mar;141(3):1321. doi: 10.1121/1.4976051.

In-ear microphone speech quality enhancement via adaptive filtering and artificial bandwidth extension.

The Journal of the Acoustical Society of America

Rachel E Bouserhal, Tiago H Falk, Jérémie Voix

Affiliations

  1. Department of Mechanical Engineering, École de technologie supérieure, Montréal, Quebec H3C 1K3 Canada.
  2. Centre Énergie, Matériaux, Télécommunications, Institut National de la Recherche Scientifique, Montréal, Quebec H5A 1K6, Canada.

PMID: 28372069 DOI: 10.1121/1.4976051

Abstract

Bone and tissue conducted speech has been used in noisy environments to provide a relatively high signal-to-noise ratio signal. However, the limited bandwidth of bone and tissue conducted speech degrades the quality of the speech signal. Moreover in very noisy conditions, bandwidth extension of the bone and tissue conducted speech becomes problematic. In this paper, speech generated from bone and tissue conduction captured using an in-ear microphone is enhanced using adaptive filtering and a non-linear bandwidth extension method. Objective and subjective tests are used to evaluate the performance of the proposed techniques. Both evaluations show a statistically significant quality enhancement of the noisy in-ear microphone speech with ρ<0.0001 after denoising and ρ<0.01 after bandwidth extension.

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