Acoustic analysis in the diagnosis of voice disorders in children

Niedzielska, G

doi:10.1016/s0165-5876(00)00411-0

Cited by 50 publications

(37 citation statements)

References 13 publications

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“…The high prevalence of childhood dysphonia mandates that special attention be paid to the evaluation and diagnosis of children's voices, with objective measures to enable an understanding of the severity of the voice deviance and how it manifests itself at different stages between the ages of 3 and 9 years 1,[19][20][21] .…”

Section: Discussionmentioning

confidence: 99%

“…Typically, incomplete glottal closure due to alterations in the glottal proportions, as is the case with a child's larynx, can generate hyperfunction of the phonatory mechanism in an attempt to increase voice loudness, especially in group activities and in the presence of competing noise in the environment 19 . Strained voice production by children is consistent with a hyperfunctional voice pattern, which may be related to recurring lower airway infections, social determinants, or anatomic and behavioral characteristics 1,22 .…”

Section: In the χmentioning

confidence: 99%

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Análise acústica de vozes infantis: contribuições do diagrama de desvio fonatório

et al. 2015

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Resumo:OBJETIVO:analisar o poder discriminatório do diagrama de desvio fonatório na avaliação do tipo de voz predominante e da intensidade do desvio vocal em crianças.MÉTODOS:coletou-se a vogal /ε/ sustentada de 93 crianças. A intensidade do desvio e a qualidade vocal foram analisadas por meio da escala analógico-visual. Utilizou-se o diagrama para a análise acústica, com avaliação da distribuição dos sinais vocais de acordo com a área, quadrante, forma e densidade. Realizou-se o teste de igualdade de proporções e o teste Qui-quadrado(x2) para comparar as variáveis, e o teste de Correlação de Spearman para correlacionar as medidas acústicas e perceptivo-auditivas.RESULTADOS: houve correlação entre a classificação de quadrantes e a intensidade do desvio vocal para todos os parâmetros analisados. Houve diferença estatisticamente significante entre a proporção de crianças com rugosidade, soprosidade, tensão e instabilidade em relação à área, ao quadrante e à forma. Não houve diferença estatisticamente significante entre a proporção de crianças com e sem desvio da qualidade vocal em relação a todos os parâmetros analisados, ao considerar a distribuição das vozes nos quadrantes.CONCLUSÃO: o diagrama de desvio fonatório foi capaz de diferenciar a qualidade vocal predominante por meio da distribuição nos quadrantes, embora não tenha discriminado as vozes infantis saudáveis e alteradas.

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Section: Discussionmentioning

confidence: 99%

Section: In the χmentioning

confidence: 99%

Análise acústica de vozes infantis: contribuições do diagrama de desvio fonatório

et al. 2015

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“…Several studies [19] [20] [21] [22] have investigated the characteristics of speech features in speakers with speech impairments. Speech features of speech impairments vary with the changes within the vocal organs [20].…”

Section: Research Backgroundmentioning

confidence: 99%

“…Speech features of speech impairments vary with the changes within the vocal organs [20]. The selected features are defined as follows:…”

Section: Research Backgroundmentioning

confidence: 99%

The Effect Of Changes In Speech Features On The Recognition Accuracy Of ASR System: A Study On The Malay Speech Impaired Children

Rosdi

Mustafa

Salim

et al. 2017

MJCS

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Speech impairments refers to disability that causes the human speech production to deviate from the norm. Although there have been several researches undertaken to identify the differences between non-impaired and impaired speech, little is known about their effects on the speech intelligibility and the performance of ASR systems in recognizing impaired speech of children. This study investigates the speech features of impaired speech in relation to intelligibility deficits and degradation in ASR performance; which includes, formant frequencies, intensity, fundamental frequency (F0) and perturbation features such as jitter and shimmer. As there is no existing speech database for performing the evaluation, we have developed a speech database of speech impaired children and have analysed the impaired speech features. We have identified significant differences in the selected features. We also have identified the relationship between the ASR system's Word Error Rate (WER) of impaired speeches with the speech features. The results show that there are significant differences in F0, jitter and shimmer across the Control Group (CG) and the Speech Impaired Group (SIG). This paper explains the differences between impaired speeches and non-impaired speeches that can be used in developing automated speech recognition system. We have observed that F0 affects the ASR performance and was found to be a significant predictor that influences the accuracy of vowel phonemes /e/ and /u/.

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“…Large number studies have been carried out for objective analysis of voice. But most of these studies are focused on analysing the acoustic features which are highly person specific like jitter, pitch, tone using mathematical signal processing techniques [9][10][11]. There are various frameworks of voice signal analysis being used by researchers like for mood identification, emotion recognition, disease classification etc [12][13][14][15], however, many of frameworks that are in practice today, are based on Jitter, Shimmer, Pitch Tone which are highly user specific due to which it cannot be generalised for analysis of individuals [16].…”

Section: Introductionmentioning

confidence: 99%

Screening Upper Respiratory Diseases Using Acoustics Parameter Analysis of Speaking Voice

Bothe¹

2017

IJBSBE

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This paper presents the acoustic analysis of speaking voice for screening some of the upper respiratory diseases. The six acoustic parameters of speaking voice were analysed, which were recorded while reading the specific text. The text to read was designed considering phonetic categories of words used and their order of occurrence in the text. The appropriate number of words was combined to form the desired text to read for extracting maximum information from the upper respiratory system. Then recorded speaking voice was analysed for disease-specific corresponding variation in Total Harmonic Distortion (THD),

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Acoustic analysis in the diagnosis of voice disorders in children

Cited by 50 publications

References 13 publications

Análise acústica de vozes infantis: contribuições do diagrama de desvio fonatório

Análise acústica de vozes infantis: contribuições do diagrama de desvio fonatório

The Effect Of Changes In Speech Features On The Recognition Accuracy Of ASR System: A Study On The Malay Speech Impaired Children

Screening Upper Respiratory Diseases Using Acoustics Parameter Analysis of Speaking Voice

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