Preschool children’s consistency of word production

Holm, Alison; Reyk, Olivia van; Crosbie, Sharon; Bono, Simone De; Morgan, Angela; Dodd, Barbara G.

doi:10.1080/02699206.2022.2041099

Cited by 7 publications

(4 citation statements)

References 30 publications

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“…The speech acoustic and language characteristics of children aged 5-12 are different from those of adults [21]. Children's speech, for example, has a higher pitch [22], and formants occur at a higher frequency [23]. Through trials, reference [24] demonstrated that bandwidth has a significant impact on children's speech reading and speech appraisal.…”

Section: Original Acoustic Feature Extraction Technologymentioning

confidence: 99%

An Optimal Method for Speech Recognition Based on Neural Network

Ishak¹,

Madsen²,

Al-Zahrani³

2023

Intelligent Automation &Amp; Soft Computing

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Natural language processing technologies have become more widely available in recent years, making them more useful in everyday situations. Machine learning systems that employ accessible datasets and corporate work to serve the whole spectrum of problems addressed in computational linguistics have lately yielded a number of promising breakthroughs. These methods were particularly advantageous for regional languages, as they were provided with cutting-edge language processing tools as soon as the requisite corporate information was generated. The bulk of modern people are unconcerned about the importance of reading. Reading aloud, on the other hand, is an effective technique for nourishing feelings as well as a necessary skill in the learning process. This paper proposed a novel approach for speech recognition based on neural networks. The attention mechanism is first utilized to determine the speech accuracy and fluency assessments, with the spectrum map as the feature extraction input. To increase phoneme identification accuracy, reading precision, for example, employs a new type of deep speech. It makes use of the exportchapter tool, which provides a corpus, as well as the TensorFlow framework in the experimental setting. The experimental findings reveal that the suggested model can more effectively assess spoken speech accuracy and reading fluency than the old model, and its evaluation model's score outcomes are more accurate.

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Section: Original Acoustic Feature Extraction Technologymentioning

confidence: 99%

An Optimal Method for Speech Recognition Based on Neural Network

Ishak¹,

Madsen²,

Al-Zahrani³

2023

Intelligent Automation &Amp; Soft Computing

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show abstract

“…Tā kā visi kritēriji saistīti ar valodas un komunikatīvās kompetences attīstību, tad šāds rezultāts nav pārsteigums, jo sakrīt ar pētījumos pausto atziņu, ka dzimumam ir svarīga loma valodu apguvē: meitenes ir veiksmīgākas un motivētākas valodu apguvē, salīdzinot ar zēniem. Komunikatīvā kompetence bērniem pilnveidojas pakāpeniski, bet vairākos aspektos meiteņu valodas attīstība norit ātrāk un labāk, nekā zēniem (Holm et al, 2023;Coskun, 2014).…”

Section: Mijiedarbības Kvalitāte 609unclassified

“…Spēj kontrolēt savas emocijas: visos gadījumos meitenes saņēmušas augstāku vērtējumu nekā zēni. Tas ļauj secināt, ka dzimumam ir svarīga loma valodu apguvē un sakrīt ar teorijas atziņu, ka viņu valoda un līdz ar to komunikatīvā kompetence šai vecumā attīstās ātrāk (Holm et al, 2023) un pieņemt, ka komunikatīvās kompetences attīstībai zēniem nepieciešams lielāks pedagoģiskais atbalsts nekā meitenēm.…”

Section: Mijiedarbības Kvalitāte 609unclassified

“…Visos gadījumos meitenes saņēmušas augstāku vērtējumu nekā zēni. Tāpat kā pētījuma sākumā, arī šoreiz apstiprinās atziņa, ka meitenēm valoda un komunikatīvā kompetence attīstās ātrāk (Holm et al, 2023), tas attiecināms uz visiem kognitīvajiem procesiem un intelekta attīstību kopumā, šai vecumā meitenes vairāk pēta, jautā, iesaistās problēmu risināšanā, viņu novērošanas, līdz ar to arī atdarināšanas prasmes ir augstākā līmenī (Buboviča, 2014).…”

Section: Mijiedarbības Kvalitāte 609unclassified

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Drama for the Development of Communicative Competence in Preschool

Kanča,

Usca

2023

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Rapid changes in society force people to face increasingly complex life challenges that require the ability to adapt to changes and function effectively in a social context. The issue of communicative competence, on the level of which the quality of this adaptation and functioning depends to a large extent, is becoming more relevant. The development of communicative competence begins already in preschool. It is necessary to create an appropriate and supportive environment in which the development of verbal and non-verbal aspects of communication, including vocabulary, would be promoted in various ways according to the child's educational needs.The aim of the paper is to analyze the possibilities of using drama for the development of communicative competence in preschool. The results obtained show the usefulness of drama as a method for the development of communicative competence, as well as differences depending on the gender of a child: boys need more pedagogical support for the development of communicative competence than girls.

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Accuracy of Speech Sound Analysis: Comparison of an Automatic Artificial Intelligence Algorithm With Clinician Assessment

Carl,

Rudyk,

Shapira

et al. 2024

J Speech Lang Hear Res

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Purpose: Automatic speech analysis (ASA) and automatic speech recognition systems are increasingly being used in the treatment of speech sound disorders (SSDs). When utilized as a home practice tool or in the absence of the clinician, the ASA system has the potential to facilitate treatment gains. However, the feedback accuracy of such systems varies, a factor that may impact these gains. The current research analyzes the feedback accuracy of a novel ASA algorithm (Amplio Learning Technologies), in comparison to clinician judgments. Method: A total of 3,584 consonant stimuli, produced by 395 American English–speaking children and adolescents with SSDs (age range: 4–18 years), were analyzed with respect to automatic classification of the ASA algorithm, clinician–ASA agreement, and interclinician agreement. Further analysis of results as related to phoneme acquisition categories (early-, middle-, and late-acquired phonemes) was conducted. Results: Agreement between clinicians and ASA classification for sounds produced accurately was above 80% for all phonemes, with some variation based on phoneme acquisition category (early, middle, late). This variation was also noted for ASA classification into “acceptable,” “unacceptable,” and “unknown” (which means no determination of phoneme accuracy) categories, as well as interclinician agreement. Clinician–ASA agreement was reduced for misarticulated sounds. Conclusions: The initial findings of Amplio's novel algorithm are promising for its potential use within the context of home practice, as it demonstrates high feedback accuracy for correctly produced sounds. Furthermore, complexity of sound influences consistency of perception, both by clinicians and by automated platforms, indicating variable performance of the ASA algorithm across phonemes. Taken together, the ASA algorithm may be effective in facilitating speech sound practice for children with SSDs, even in the absence of the clinician.

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Preschool children’s consistency of word production

Cited by 7 publications

References 30 publications

An Optimal Method for Speech Recognition Based on Neural Network

An Optimal Method for Speech Recognition Based on Neural Network

Drama for the Development of Communicative Competence in Preschool

Accuracy of Speech Sound Analysis: Comparison of an Automatic Artificial Intelligence Algorithm With Clinician Assessment

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