Enhancement of electronic artificial larynx speech by denoising

Haijun Niu; Mingxi Wan; Supin Wang

doi:10.1109/ICNNSP.2003.1280747

Enhancement of electronic artificial larynx speech by denoising

Haijun Niu
, Mingxi Wan
, Supin Wang

School of Life Science and Technology (SLST)

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Electronic artificial larynx (EAL) is important speech rehabilitation prosthesis for laryngectomees. However, existing EAL have some drawbacks such as harsh, raucous and unpleasant sound. One of the major problems is radiation-noise. It is a major source of the degradation in acceptability and intelligibility of EAL speech. In this study, we restrained radiated noise using independent component analysis based adaptive noise canceling. An acoustic analysis of the denoised EAL speech revealed a significant reduction in the amount of background noise yet preserved the acoustic characteristics of the vocal output. Perceptual evaluation also indicated an obvious preference for denoised speech.

Original language	English
Title of host publication	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages	908-911
Number of pages	4
DOIs	https://doi.org/10.1109/ICNNSP.2003.1280747
State	Published - 2003
Event	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China Duration: 14 Dec 2003 → 17 Dec 2003

Publication series

Name	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume	2

Conference

Conference	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/Territory	China
City	Nanjing
Period	14/12/03 → 17/12/03

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10.1109/ICNNSP.2003.1280747

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Niu, H., Wan, M., & Wang, S. (2003). Enhancement of electronic artificial larynx speech by denoising. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (pp. 908-911). Article 1280747 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 2). https://doi.org/10.1109/ICNNSP.2003.1280747

@inproceedings{7a5a0e7f021741678da5343053580fc9,

title = "Enhancement of electronic artificial larynx speech by denoising",

abstract = "Electronic artificial larynx (EAL) is important speech rehabilitation prosthesis for laryngectomees. However, existing EAL have some drawbacks such as harsh, raucous and unpleasant sound. One of the major problems is radiation-noise. It is a major source of the degradation in acceptability and intelligibility of EAL speech. In this study, we restrained radiated noise using independent component analysis based adaptive noise canceling. An acoustic analysis of the denoised EAL speech revealed a significant reduction in the amount of background noise yet preserved the acoustic characteristics of the vocal output. Perceptual evaluation also indicated an obvious preference for denoised speech.",

author = "Haijun Niu and Mingxi Wan and Supin Wang",

year = "2003",

doi = "10.1109/ICNNSP.2003.1280747",

language = "英语",

isbn = "0780377028",

series = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

pages = "908--911",

booktitle = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

note = "2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Niu, H, Wan, M & Wang, S 2003, Enhancement of electronic artificial larynx speech by denoising. in Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03., 1280747, Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, vol. 2, pp. 908-911, 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, China, 14/12/03. https://doi.org/10.1109/ICNNSP.2003.1280747

Enhancement of electronic artificial larynx speech by denoising. / Niu, Haijun; Wan, Mingxi; Wang, Supin.
Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 908-911 1280747 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Enhancement of electronic artificial larynx speech by denoising

AU - Niu, Haijun

AU - Wan, Mingxi

AU - Wang, Supin

PY - 2003

Y1 - 2003

N2 - Electronic artificial larynx (EAL) is important speech rehabilitation prosthesis for laryngectomees. However, existing EAL have some drawbacks such as harsh, raucous and unpleasant sound. One of the major problems is radiation-noise. It is a major source of the degradation in acceptability and intelligibility of EAL speech. In this study, we restrained radiated noise using independent component analysis based adaptive noise canceling. An acoustic analysis of the denoised EAL speech revealed a significant reduction in the amount of background noise yet preserved the acoustic characteristics of the vocal output. Perceptual evaluation also indicated an obvious preference for denoised speech.

AB - Electronic artificial larynx (EAL) is important speech rehabilitation prosthesis for laryngectomees. However, existing EAL have some drawbacks such as harsh, raucous and unpleasant sound. One of the major problems is radiation-noise. It is a major source of the degradation in acceptability and intelligibility of EAL speech. In this study, we restrained radiated noise using independent component analysis based adaptive noise canceling. An acoustic analysis of the denoised EAL speech revealed a significant reduction in the amount of background noise yet preserved the acoustic characteristics of the vocal output. Perceptual evaluation also indicated an obvious preference for denoised speech.

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DO - 10.1109/ICNNSP.2003.1280747

M3 - 会议稿件

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SN - 0780377028

SN - 9780780377028

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EP - 911

BT - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

T2 - 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Y2 - 14 December 2003 through 17 December 2003

ER -

Enhancement of electronic artificial larynx speech by denoising

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