The New Bionic Electro-Larynx Speech System

Fuchs, Anna; Hagmüller, Martín; Kubin, Gernot

doi:10.1109/jstsp.2016.2535970

Cited by 17 publications

(12 citation statements)

References 30 publications

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“…In a paper by Fuchs, 28 a digital signal processor (DSP) is used to approximate the pattern of fundamental frequency (F0: a parameter of sound pitch) to human voice; besides, a myoelectric sensor is used to implement hands‐free on/off control. Besides, a novel electromagnetic transducer was employed.…”

Section: Background and Purposementioning

confidence: 99%

Development of a hands‐free electrolarynx for obtaining a human‐like voice using the LPC residual wave

Takeuchi

Soejima

Ahn

et al. 2022

Electrical Engineering Japan

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Section: Background and Purposementioning

confidence: 99%

Development of a hands‐free electrolarynx for obtaining a human‐like voice using the LPC residual wave

Takeuchi

Soejima

Ahn

et al. 2022

Electrical Engineering Japan

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“…Algebraic Code Excited Linear Predictive (ACELP) coder is a CELP coder variant that has an LP model followed by the AbS algorithm. ACELP such as G.723.1works at rates of 2.4 to 8 kbps [10]. This coder works on two-time scales of 240 sample frames separated into 60-length sub-frames [11].…”

Section: Algebraic Code Excited Linear Predictive Codermentioning

confidence: 99%

A Comparative Study of Speech Coding Techniques for Electro Larynx Speech Production

Mohammed

Kadhim

2022

Iraqi Journal of ICT

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Speech coding is a method of earning a tight speech signals representation for efficient storage and efficient transmission over band limited wired or wireless channels. This is usually achieved with acceptable representation and least number of bits without depletion in the perceptual quality. A number of speech coding methods already developed and various speech coding algorithms for speech analysis and synthesis are used. This paper deals with the comparison of selected coding methods for speech signal produced by Electro Larynx (EL) device. The latter is a device used by cancer patients with their vocal laryngeal cords being removed. The used methods are Residual-Excited Linear Prediction (RELP), Code Excited Linear Prediction (CELP), Algebraic Code Excited Linear Predictive (ACELP), Phase Vocoders based on Wavelet Transform (PVWT), Channel Vocoders based on Wavelet Transform (CVWT), and Phase vocoder based on Dual-Tree Rational-Dilation Complex Wavelet Transform (PVDT-RADWT). The aim here is to select the best coding approach based on the quality of the reproduced speech. The signal used in the test is speech signal recorded either directly by normal persons or else produced by EL device. The performance of each method is evaluated using both objective and subjective listening tests. The results indicate that PVWT and ACELP coders perform better than other methods having about 40 dB SNR and 3 PESQ score for EL speech and 75 dB with 3.5 PESQ score for normal speech, respectively.

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“…Being a battery-driven device, an electrolarynx's size should be as small as possible. However, battery technology is not advanced enough for new technology, so alternative energy-saving methods must also be accommodated (Madhushankara et al, 2015;Fuchs et al, 2016;Sofyan et al, 2016;Ejidokun et al, 2018). In our research, we designed an energyefficient electrolarynx by modifying the driving source, thereby reducing battery size, which is proportional to battery capacity.…”

Section: Introductionmentioning

confidence: 99%

Design of Electrolarynx to Increase Energy Efficiency by Varying the Driving Source

Maila

Bhat

Prasad

2020

IJTech

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The larynx is an organ in the human respiratory system that forms the basis of the speech production system. An electrolarynx is a device used by most laryngectomees to regain their verbal communication. Our objective was to design an electrolarynx with increased energy efficiency by modifying the driving source. Initially, we designed the electrolarynx to accommodate various driving signals. We then compared the voice output obtained by different input signals for quality and measured energy consumption using a digital multimeter. When compared to existing methods, the proposed driving source was found to be 11.1% more energy efficient. Voice quality was also better than the traditional driving source by 31.6%.

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The New Bionic Electro-Larynx Speech System

Cited by 17 publications

References 30 publications

Development of a hands‐free electrolarynx for obtaining a human‐like voice using the LPC residual wave

Development of a hands‐free electrolarynx for obtaining a human‐like voice using the LPC residual wave

A Comparative Study of Speech Coding Techniques for Electro Larynx Speech Production

Design of Electrolarynx to Increase Energy Efficiency by Varying the Driving Source

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