Formant smoothing for quality improvement of post-laryngectomised speech reconstruction

Hamid Sharifzadeh; Hanie Mehdinezhad; Jacqueline Alleni; Ian McLoughlin; Iman Ardekani

doi:10.1109/icot.2017.8336076

Formant smoothing for quality improvement of post-laryngectomised speech reconstruction

Hamid Sharifzadeh, Hanie Mehdinezhad, Jacqueline Alleni, Ian McLoughlin, Iman Ardekani

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

Abstract

In this paper, we use the voice samples recorded from laryngectomised patients to develop a novel method for speech enhancement and regeneration of natural sounding speech for laryngectomees. By leveraging recent advances in computational methods for speech reconstruction, our proposed method takes advantages of both non-training and training-based approaches to improve the quality of reconstructed speech for voice-impaired individuals. Since the proposed method has been developed based on the samples obtained from post-laryngectomised patients (and not based on the characteristics of other alternative modes of speech such as whispers and pseudo-whispers), it can address the limitations of current computational methods to some extent. Furthermore, by focusing on English vowels, objective evaluations are carried out to show the efficiency of the proposed method.

Original language	English
Title of host publication	Proceedings of the 2017 International Conference on Orange Technologies (ICOT)
Editors	Minghui Dong, Lei Wang, Yanfeng Lu, Haizhou Li
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	11-14
Number of pages	4
ISBN (Electronic)	9781538632765, 9781538632758
ISBN (Print)	9781538632772
DOIs	https://doi.org/10.1109/icot.2017.8336076
Publication status	Published - 2017
Externally published	Yes
Event	5th International Conference on Orange Technologies, ICOT 2017 - Singapore, Singapore Duration: 8 Dec 2017 → 10 Dec 2017

Conference

Conference	5th International Conference on Orange Technologies, ICOT 2017
Country/Territory	Singapore
City	Singapore
Period	8/12/17 → 10/12/17

Keywords

Laryngectomy
Formants
Speech reconstruction
Spectral smoothing

Access to Document

10.1109/icot.2017.8336076

Cite this

Sharifzadeh, H., Mehdinezhad, H., Alleni, J., McLoughlin, I., & Ardekani, I. (2017). Formant smoothing for quality improvement of post-laryngectomised speech reconstruction. In M. Dong, L. Wang, Y. Lu, & H. Li (Eds.), Proceedings of the 2017 International Conference on Orange Technologies (ICOT) (pp. 11-14). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/icot.2017.8336076

Sharifzadeh, Hamid ; Mehdinezhad, Hanie ; Alleni, Jacqueline et al. / Formant smoothing for quality improvement of post-laryngectomised speech reconstruction. Proceedings of the 2017 International Conference on Orange Technologies (ICOT). editor / Minghui Dong ; Lei Wang ; Yanfeng Lu ; Haizhou Li. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 11-14

@inproceedings{945c4fa7b1104f8aacaf5374a615d985,

title = "Formant smoothing for quality improvement of post-laryngectomised speech reconstruction",

abstract = "In this paper, we use the voice samples recorded from laryngectomised patients to develop a novel method for speech enhancement and regeneration of natural sounding speech for laryngectomees. By leveraging recent advances in computational methods for speech reconstruction, our proposed method takes advantages of both non-training and training-based approaches to improve the quality of reconstructed speech for voice-impaired individuals. Since the proposed method has been developed based on the samples obtained from post-laryngectomised patients (and not based on the characteristics of other alternative modes of speech such as whispers and pseudo-whispers), it can address the limitations of current computational methods to some extent. Furthermore, by focusing on English vowels, objective evaluations are carried out to show the efficiency of the proposed method.",

keywords = "Laryngectomy, Formants, Speech reconstruction, Spectral smoothing",

author = "Hamid Sharifzadeh and Hanie Mehdinezhad and Jacqueline Alleni and Ian McLoughlin and Iman Ardekani",

year = "2017",

doi = "10.1109/icot.2017.8336076",

language = "English",

isbn = "9781538632772",

pages = "11--14",

editor = "Minghui Dong and Lei Wang and Yanfeng Lu and Haizhou Li",

booktitle = "Proceedings of the 2017 International Conference on Orange Technologies (ICOT)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "5th International Conference on Orange Technologies, ICOT 2017 ; Conference date: 08-12-2017 Through 10-12-2017",

}

Sharifzadeh, H, Mehdinezhad, H, Alleni, J, McLoughlin, I & Ardekani, I 2017, Formant smoothing for quality improvement of post-laryngectomised speech reconstruction. in M Dong, L Wang, Y Lu & H Li (eds), Proceedings of the 2017 International Conference on Orange Technologies (ICOT). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 11-14, 5th International Conference on Orange Technologies, ICOT 2017, Singapore, Singapore, 8/12/17. https://doi.org/10.1109/icot.2017.8336076

Formant smoothing for quality improvement of post-laryngectomised speech reconstruction. / Sharifzadeh, Hamid; Mehdinezhad, Hanie; Alleni, Jacqueline et al.
Proceedings of the 2017 International Conference on Orange Technologies (ICOT). ed. / Minghui Dong; Lei Wang; Yanfeng Lu; Haizhou Li. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 11-14.

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

TY - GEN

T1 - Formant smoothing for quality improvement of post-laryngectomised speech reconstruction

AU - Sharifzadeh, Hamid

AU - Mehdinezhad, Hanie

AU - Alleni, Jacqueline

AU - McLoughlin, Ian

AU - Ardekani, Iman

PY - 2017

Y1 - 2017

N2 - In this paper, we use the voice samples recorded from laryngectomised patients to develop a novel method for speech enhancement and regeneration of natural sounding speech for laryngectomees. By leveraging recent advances in computational methods for speech reconstruction, our proposed method takes advantages of both non-training and training-based approaches to improve the quality of reconstructed speech for voice-impaired individuals. Since the proposed method has been developed based on the samples obtained from post-laryngectomised patients (and not based on the characteristics of other alternative modes of speech such as whispers and pseudo-whispers), it can address the limitations of current computational methods to some extent. Furthermore, by focusing on English vowels, objective evaluations are carried out to show the efficiency of the proposed method.

AB - In this paper, we use the voice samples recorded from laryngectomised patients to develop a novel method for speech enhancement and regeneration of natural sounding speech for laryngectomees. By leveraging recent advances in computational methods for speech reconstruction, our proposed method takes advantages of both non-training and training-based approaches to improve the quality of reconstructed speech for voice-impaired individuals. Since the proposed method has been developed based on the samples obtained from post-laryngectomised patients (and not based on the characteristics of other alternative modes of speech such as whispers and pseudo-whispers), it can address the limitations of current computational methods to some extent. Furthermore, by focusing on English vowels, objective evaluations are carried out to show the efficiency of the proposed method.

KW - Laryngectomy

KW - Formants

KW - Speech reconstruction

KW - Spectral smoothing

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U2 - 10.1109/icot.2017.8336076

DO - 10.1109/icot.2017.8336076

M3 - Conference proceeding contribution

SN - 9781538632772

SP - 11

EP - 14

BT - Proceedings of the 2017 International Conference on Orange Technologies (ICOT)

A2 - Dong, Minghui

A2 - Wang, Lei

A2 - Lu, Yanfeng

A2 - Li, Haizhou

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 5th International Conference on Orange Technologies, ICOT 2017

Y2 - 8 December 2017 through 10 December 2017

ER -

Sharifzadeh H, Mehdinezhad H, Alleni J, McLoughlin I, Ardekani I. Formant smoothing for quality improvement of post-laryngectomised speech reconstruction. In Dong M, Wang L, Lu Y, Li H, editors, Proceedings of the 2017 International Conference on Orange Technologies (ICOT). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 11-14 doi: 10.1109/icot.2017.8336076

Formant smoothing for quality improvement of post-laryngectomised speech reconstruction

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