Literature DB >> 20570761

Reconstruction of normal sounding speech for laryngectomy patients through a modified CELP codec.

Hamid Reza Sharifzadeh1, Ian V McLoughlin, Farzaneh Ahmadi.   

Abstract

Whispered speech can be useful for quiet and private communication, and is the primary means of unaided spoken communication for many people experiencing voice-box deficiencies. Patients who have undergone partial or full laryngectomy are typically unable to speak anything more than hoarse whispers, without the aid of prostheses or specialized speaking techniques. Each of the current prostheses and rehabilitative methods for post-laryngectomized patients (primarily oesophageal speech, tracheo-esophageal puncture, and electrolarynx) have particular disadvantages, prompting new work on nonsurgical, noninvasive alternative solutions. One such solution, described in this paper, combines whisper signal analysis with direct formant insertion and speech modification located outside the vocal tract. This approach allows laryngectomy patients to regain their ability to speak with a more natural voice than alternative methods, by whispering into an external prosthesis, which then, recreates and outputs natural-sounding speech. It relies on the observation that while the pitch-generation mechanism of laryngectomy patients is damaged or unusable, the remaining components of the speech production apparatus may be largely unaffected. This paper presents analysis and reconstruction methods designed for the prosthesis, and demonstrates their ability to obtain natural-sounding speech from the whisper-speech signal using an external analysis-by-synthesis processing framework.

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Year:  2010        PMID: 20570761     DOI: 10.1109/TBME.2010.2053369

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  Intraoral voice recording-towards a new smartphone-based method for vocal rehabilitation.

Authors:  T Schuldt; B Kramp; A Ovari; D Timmermann; S Dommerich; R Mlynski; P Ottl
Journal:  HNO       Date:  2018-07       Impact factor: 1.284

2.  [Intraoral voice recording-towards a new smartphone-based method for vocal rehabilitation. German version].

Authors:  T Schuldt; B Kramp; A Ovari; D Timmermann; S Dommerich; R Mlynski; P Ottl
Journal:  HNO       Date:  2018-10       Impact factor: 1.284

3.  A preliminary study on improving the recognition of esophageal speech using a hybrid system based on statistical voice conversion.

Authors:  Othman Lachhab; Joseph Di Martino; Elhassane Ibn Elhaj; Ahmed Hammouch
Journal:  Springerplus       Date:  2015-10-26

4.  Speech reconstruction using a deep partially supervised neural network.

Authors:  Ian McLoughlin; Jingjie Li; Yan Song; Hamid R Sharifzadeh
Journal:  Healthc Technol Lett       Date:  2017-06-09
  4 in total

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