A study of sounds produced by Algerian esophageal speakers

Ferrat, Kamel; Guerti, M

doi:10.4314/ahs.v12i4.9

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…Assessing the quality of the voice is an important issue for laryngo-phoniatria in order to validate the relevance and effectiveness of the treatments proposed, whether they are rehabilitation or phono-surgery. In this sense, the ear-based judgment, also known as subjective or perceptive evaluation terminology, is the only method of analysis and evaluation of pathological voice used in Algerian clinical environment [1,2,3]. In this method, the rehabilitative speech therapist is the only one in charge of listening to the quality of the voice, which results in an unreliable perceptive evaluation, given that reliable perceptive analysis involving several expert auditors and several listening sessions is ultimately time consuming and human resources consuming, and does not allow regular use in clinical routine [3,4,5].…”

Section: Introductionmentioning

confidence: 99%

Objective Evaluation of the Pathological Voice Based on Deep Learning Neural Networks in an Algerian hospital environment

Kabache

Guerti

2022

ENPESJ

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In this study, we propose a method based on Recurrent Neural Networks, to objectively evaluate the process of rehabilitation of the pathological voice, in an Algerian clinical environment. We choose Unilateral Laryngeal Paralysis as the pathology of the voice. In this paper, we used a Deep Learning system of pathological voice detection by Long Short Term Memory neural model (LSTM). As the dysphony studied in our work concerns essentially the laryngeal vibration, we choose the acoustic parameters based on the instability of the frequency and the amplitude of the laryngeal vibration: Jitter and Shimmer, Noise parameters and Cepstraux MFCC coefficients (Mel Frequency Cepstral Coefficients). A pathological voice detection rate of 88.65% shows important results brought by the rehabilitation technique adopted in Algerian clinical setting. The exclusive and abusive use of hearing to evaluate the effect of speech rehabilitation in the Algerian hospital environment remains insufficient. It is important to correlate perceptual data with objective methods based on detection and classification methods by introducing relevant acoustic parameters, for an effective and objective management of vocal pathology assessment.

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Section: Introductionmentioning

confidence: 99%

Objective Evaluation of the Pathological Voice Based on Deep Learning Neural Networks in an Algerian hospital environment

Kabache

Guerti

2022

ENPESJ

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“…Although previous studies conducted in Algerian hospitals embarked acoustic analysis to assess pathological speech, they did not consider the study of cleft palates (Ferrat, Guerti, 2012…”

Section: Introductionmentioning

confidence: 99%

Archives of Acoustics

Baazi,

Guerti

2022

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The aim of this acoustic study is to analyse the phoneme [t ˙] produced by school children surgically operated on for the cleft palate or cleft lip, in order to examine their vocal characteristics, to provide speech therapists with numerous concrete analyses of voice and speech, to effectively support them and to prevent some serious outcomes on their psychological and academic development. The motivation for this study was mainly stemming from the difficulties that Algerian schoolchildren with clefts encounter in the pronunciation of this phoneme.To carry out the study, several acoustic parameters were investigated in terms of the fundamental frequency F0, the first three formants F1, F2, and F3, the energy E0, the Voice Onset Time (VOT), the durations [CV] and [V] of the subsequent vowel [a]. For the analysis, further important parameters in the field of pathological speech were deployed, namely the degree of disturbance of F0 (jitter), the degree of disturbance of intensity (shimmer) and the HNR (Harmonics to Noise Ratio). Results revealed disturbance in the values of F1, F2, and F3 and stability in the values of F0. Another important reported aspect is the increase in the value of the VOT due to the difficulties in controlling the plosives' successive closure and release.

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“…In this sense, research has been carried out to objectively assess the voice in the Algerian clinical setting, nevertheless, they remain insufficient in relation to the protocol and conditions of recording of pathological voice which require technical precautions to acoustic evaluation [1,9].…”

Section: Introductionmentioning

confidence: 99%

Acoustic Analysis of Voice Signal of Patients with Unilateral Laryngeal Paralysis a View to Objective Evaluation after Rehabilitation

Kabache¹,

Guerti²

2021

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We propose in this study an acoustic analysis called objective, based on physical measurements, to extract the acoustic characteristics of the voice of patients with Unilateral Laryngeal Paralysis. Our experiments were made at the Otorhinolaryngology service of the hospital of Bab El Oued. Algiers. (Algeria). In this work, an acoustic analysis of the vocal signal is based on measurements of the instability of the amplitude and frequency of the vibrations of the vocal cords. The results obtained are compared with those of a group of reference of subjects who normally speak. The study of the results obtained by the acoustic analysis of the pathological voice during the rehabilitation phase shows a strong correlation of the acoustic parameters between the pathological voice and the reference one. The exclusive use of hearing to evaluate the effect of voice rehabilitation in the Algerian hospital environment remains insufficient. It is important to correlate the perceptual information with the interpreted acoustic measurements, in a manner to be able to develop a therapeutic project appropriate to the patient’s expectations and difficulties.

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A study of sounds produced by Algerian esophageal speakers

Cited by 3 publications

References 24 publications

Objective Evaluation of the Pathological Voice Based on Deep Learning Neural Networks in an Algerian hospital environment

Objective Evaluation of the Pathological Voice Based on Deep Learning Neural Networks in an Algerian hospital environment

Archives of Acoustics

Acoustic Analysis of Voice Signal of Patients with Unilateral Laryngeal Paralysis a View to Objective Evaluation after Rehabilitation

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