Speech Technology Applied to Children with Speech Disorders

Dueñas, William Ricardo Rodríguez; Vaquero, Carlos; Saz, Óscar; Lleida, Eduardo

doi:10.1007/978-3-540-69139-6_64

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…This Section gives a brief review of the algorithms used for the acoustic analysis and focuses on the reference results over the unimpaired subcorpus. Stateof-the-art speech processing algorithms are implemented to estimate these values following the diagram on Figure 1 as also implemented in the speech therapy tool "PreLingua" for Speaker Spk01 Spk02 Spk03 Spk04 Spk05 Spk06 Spk07 %Errors 0.39% 3.10% 0.39% 0.39% 17.44% 0.19% 0.78% Speaker Spk08 Spk09 Spk10 Spk11 Spk12 Spk13 Spk14 %Errors 8.53% 0.78% 7.56% 3.10% 8.33% 28.68% 0.00% the improvement of phonatory controls in young children [20]. The speech processing is applied framewise (with a frame length of 25 milliseconds.…”

Section: Acoustic Analysis and Reference Resultsmentioning

confidence: 99%

Analysis of Acoustic Features in Speakers with Cognitive Disorders and Speech Impairments

Saz

Simón

Rodríguez

et al. 2009

EURASIP J. Adv. Signal Process.

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This work presents the results in the analysis of the acoustic features (formants and the three suprasegmental features: tone, intensity and duration) of the vowel production in a group of 14 young speakers suffering different kinds of speech impairments due to physical and cognitive disorders. A corpus with unimpaired children's speech is used to determine the reference values for these features in speakers without any kind of speech impairment within the same domain of the impaired speakers; this is 57 isolated words. The signal processing to extract the formant and pitch values is based on a Linear Prediction Coefficients (LPCs) analysis of the segments considered as vowels in a Hidden Markov Model (HMM) based Viterbi forced alignment. Intensity and duration are also based in the outcome of the automated segmentation. As main conclusion of the work, it is shown that intelligibility of the vowel production is lowered in impaired speakers even when the vowel is perceived as correct by human labelers. The decrease in intelligibility is due to a 30% of increase in confusability in the formants map, a reduction of 50% in the discriminative power in energy between stressed and unstressed vowels and to a 50% increase of the standard deviation in the length of the vowels. On the other hand, impaired speakers keep good control of tone in the production of stressed and unstressed vowels.

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Section: Acoustic Analysis and Reference Resultsmentioning

confidence: 99%

Analysis of Acoustic Features in Speakers with Cognitive Disorders and Speech Impairments

Saz

Simón

Rodríguez

et al. 2009

EURASIP J. Adv. Signal Process.

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“…The existing SMAT systems can be categories into five types (i) speech recognition system, (ii) hands-free control system, (iii) sign language visual synthesis, (iv) text to speech, and (v) 3d animation (avatar, pedagogical agent etc.) [7][11] [37]. In normal condition, children with speech impairment such as dysarthria use alternative communication modes such as manual sign and visual symbols, which is a substitution for spoken words [42].…”

Section: Multimedia Based Assistive Technology For Speech Impairmentmentioning

confidence: 99%

User Acceptance of ‘Let’s Talk Now’ Mobile App for Dysarthric Children

Annamalai

Yusoff

Harun

2021

Int. J. Interact. Mob. Technol.

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<p class="SPIEabstractbodytext">Dysarthria is a neurological disorder that damages of motor speech articulation.Young children who suffered from this disorder have no problem with their cognition, but they have difficulties to speak out their words. They could not have an accurate and smooth communication with their family and friends due to this disorder. Therefore, the purpose of this study is to investigate the user acceptance of an interactive speaking tool in the form of a mobile application named 'Let's Talk Now' which was designed with redundant multimedia elements for the use of dysarthric children aged 3 to 7 years old. This mobile appwas designed and developed as an early intervention to help the dysarthric who are facing problem to communicate and enable them to be understood by others. It focuses on daily usable conversation terms for family, greeting and expressions, places, ordering food and beverages, activities and asking for help. This study involved 15 respondents who are related to dysarthria namely therapists, parents, and teacher of dysarthric children. The 'Let's Talk Now' mobile app’s acceptance was evaluated using the USE (Usefulness, Satisfaction and Ease of Use) Questionnaire (Lund, 2001) which was used to measure its user acceptance. The findings described that all of the respondents agreed that the 'Let's Talk Now' mobile app is usable and suitable in helping the communication between dysarthric children and people.</p>

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One-Class SVMs Based Pronunciation Verification Approach

Shahin

Ahmed

2018

2018 24th International Conference on Pattern Recognition (ICPR)

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Speech Technology Applied to Children with Speech Disorders

Cited by 3 publications

References 3 publications

Analysis of Acoustic Features in Speakers with Cognitive Disorders and Speech Impairments

Analysis of Acoustic Features in Speakers with Cognitive Disorders and Speech Impairments

User Acceptance of ‘Let’s Talk Now’ Mobile App for Dysarthric Children

One-Class SVMs Based Pronunciation Verification Approach

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