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Formant Smoothing for Quality Improvement of Post-Laryngectomised Speech Reconstruction

Sharifzadeh, Hamid and Mehdinezhad, Hanie and Allen, Jacqueline and McLoughlin, Ian and Ardekani, Iman (2018) Formant Smoothing for Quality Improvement of Post-Laryngectomised Speech Reconstruction. In: 2017 International Conference on Orange Technologies (ICOT). IEEE. ISBN 978-1-5386-3277-2. E-ISBN 978-1-5386-3276-5. (doi:10.1109/ICOT.2017.8336076) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/ICOT.2017.8336076

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.

Item Type: Book section
DOI/Identification number: 10.1109/ICOT.2017.8336076
Uncontrolled keywords: Laryngectomy; Formants; Speech reconstruction; Spectral smoothing
Subjects: T Technology
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Ian McLoughlin
Date Deposited: 05 Nov 2017 19:47 UTC
Last Modified: 26 Sep 2019 11:54 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/64248 (The current URI for this page, for reference purposes)
McLoughlin, Ian: https://orcid.org/0000-0001-7111-2008
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