Pronunciation analysis for children with speech sound disorders

Dudy, Shiran; Asgari, Meysam; Kain, Alexander

doi:10.1109/embc.2015.7319655

Cited by 17 publications

(5 citation statements)

References 10 publications

(9 reference statements)

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“…Similar to our previous work [34], we introduce the following algorithmic approach, which aims to improve the baseline GOP measure described in Equation 7 of the LGOP approach by (1) learning acoustic models from a large children’s speech database aged 3–15 and then adapting to the speech of children in the final target age range of 4–11, (2) incorporating an explicit model of correct and incorrect pronunciations of the corpus described in the previous section, and (3) explicit modeling of the acoustics of distorted phonemes through the availability of fine-grained phonetic transcriptions during recognizer training.…”

Section: Methodssupporting

confidence: 81%

Automatic analysis of pronunciations for children with speech sound disorders

Dudy

Bedrick

Asgari

et al. 2018

Computer Speech & Language

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Computer-Assisted Pronunciation Training (CAPT) systems aim to help a child learn the correct pronunciations of words. However, while there are many online commercial CAPT apps, there is no consensus among Speech Language Therapists (SLPs) or non-professionals about which CAPT systems, if any, work well. The prevailing assumption is that practicing with such programs is less reliable and thus does not provide the feedback necessary to allow children to improve their performance. The most common method for assessing pronunciation performance is the Goodness of Pronunciation (GOP) technique. Our paper proposes two new GOP techniques. We have found that pronunciation models that use explicit knowledge about error pronunciation patterns can lead to more accurate classification whether a phoneme was correctly pronounced or not. We evaluate the proposed pronunciation assessment methods against a baseline state of the art GOP approach, and show that the proposed techniques lead to classification performance that is more similar to that of a human expert.

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Section: Methodssupporting

confidence: 81%

Automatic analysis of pronunciations for children with speech sound disorders

Dudy

Bedrick

Asgari

et al. 2018

Computer Speech & Language

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“…Third, Dudy and colleagues27 designed a computer-assisted pronunciation training program that is potentially to be a highly effective teaching aid for phonologically disordered preschool and school-age children. Effective pronunciation training requires prolonged supervised practice and interaction.…”

Section: Resultsmentioning

confidence: 99%

Speech databases for mental disorders: A systematic review

Lin

Ding

et al. 2019

Gen Psych

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BackgroundThe employment of clinical databases in the study of mental disorders is essential to the diagnosis and treatment of patients with mental illness. While text corpora obtain merely limited information of content, speech corpora capture tones, emotions, rhythms and many other signals beyond content. Hence, the design and development of speech corpora for patients with mental disorders is increasingly important.AimThis review aims to extract the existing speech corpora for mental disorders from online databases and peer-reviewed journals in order to demonstrate both achievements and challenges in this area.MethodsThe review first covers publications or resources worldwide, and then leads to the reports from China, followed by a comparison between Chinese and non-Chinese regions.ResultsMost of the speech databases were recorded in Europe or the United States by audio or video. Some were even supplemented by brain images and Event-Related Potential (ERP) statistics. The corpora were mostly developed for patients with neurocognitive disorders like stutter and aphasia, and mental illness like dementia, while other types of mental illness such as bipolar disorder, anxiety, depression and autism were scarce in number in database development.Strengths and limitationsThe results demonstrated that database development of neurocognitive disorders in China is much scarcer than that in some European countries, but the existing databases pave an instructive road for psychiatric problems. Also, the methods and applications of databases from the leading countries are inspiring for Chinese scholars, who are searching methods for developing a comprehensive resource for clinical studies.

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“…La edad es un factor importante para la recuperación ya que mientras más temprano se desarrollen las terapias de lenguaje mejor será el pronóstico (Sices, 2007). Otro factor importante es el número de fonemas comprometidos; se observa que cuando son pocos fonemas comprometidos el pronóstico es mejor (Dudy, 2015).…”

Section: Introductionunclassified

Frecuencia de trastorno específico de la pronunciación según edad y sexo en niños evaluados en un centro de terapia física y rehabilitación del distrito de Villa el Salvador, Lima, Perú

Guevara Tirado,

Mendoza Merino

2023

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El objetivo de esta investigación fue determinar la frecuencia por edad y sexo del trastorno específico de la pronunciación en niños que acuden a terapia de lenguaje. Fue un estudio observacional, descriptivo y transversal basado en la recopilación de información concerniente al diagnóstico CIE-10 código F80.0 de158 pacientes con edades entre 1 a 11 años atendidos en un centro médico de terapia física y rehabilitación del distrito de Villa el Salvador. Se halló una alta frecuencia de asistencia a terapias de lenguaje en el sexo masculino (78.49%) respecto al sexo femenino (21.51%), el grupo etario más frecuente fueron pre-escolares, la asistencia fue similar en el grupo en edad escolar. En conclusión, la frecuencia de trastornos específicos de la pronunciación, atendidos en un centro de terapia física y rehabilitación, es mayor en niños que en niñas en etapa pre-escolar.

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Pronunciation analysis for children with speech sound disorders

Cited by 17 publications

References 10 publications

Automatic analysis of pronunciations for children with speech sound disorders

Automatic analysis of pronunciations for children with speech sound disorders

Speech databases for mental disorders: A systematic review

Frecuencia de trastorno específico de la pronunciación según edad y sexo en niños evaluados en un centro de terapia física y rehabilitación del distrito de Villa el Salvador, Lima, Perú

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