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1
A guide to school services in speech-language pathology
Seidel, Courtney L.; Schraeder, Trici. - San Diego : Plural Publishing, 2022
BLLDB
UB Frankfurt Linguistik
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2
Acquisition of Joint Attention Skills in Children with Cortical Visual Impairment
Keith, Avery. - : Brock University, 2022
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3
Évaluation de la perception des sons de parole chez les populations pédiatriques : réflexion sur les épreuves existantes
In: ISSN: 0298-6477 ; EISSN: 2117-7155 ; Glossa ; https://hal.archives-ouvertes.fr/hal-03646757 ; Glossa, UNADREO - Union NAtionale pour le Développement de la Recherche en Orthophonie, 2022, 132, pp.1-27 ; https://www.glossa.fr/index.php/glossa/article/view/1043 (2022)
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4
Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu.
In: International journal of environmental research and public health, vol 19, iss 4 (2022)
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5
Kompetenzen von Bibliothekar*innen im Auskunftsgespräch mit Grundschulkindern ...
Seifried, Pia. - : Humboldt-Universität zu Berlin, 2022
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6
Reading in the Developing Brain ... : From Preliteracy to Fluent Reading ...
Liebig, Johanna. - : Freie Universität Berlin, 2022
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7
兒童華語教材中的飲食文化分析:以《學華語向前走》為例 ; Analysis of Food Culture of Chinese Teaching Material for Children — With Reference to “Let’s Learn Chinese”
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8
A Paediatric English Linguistics Mediation on Spoken Language for Pakistani English-Speaking Parents of Deaf Children having Hearing Problems ...
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9
A Paediatric English Linguistics Mediation on Spoken Language for Pakistani English-Speaking Parents of Deaf Children having Hearing Problems ...
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10
Phonological and semantic specialization in 9- to 10-year-old children during auditory word processing ...
Wang, Jin. - : Open Science Framework, 2022
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11
Invented spelling intervention programmes: Comparing explicit and implicit instructions
Silva, Ana Cristina; Almeida, Tiago; Rosa, João. - : Ispa Instituto Universitário, 2022
BASE
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12
Diagnosis of early spasticity in children with diseases of the peripheral nervous system. ...
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13
Diagnosis of early spasticity in children with diseases of the peripheral nervous system. ...
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14
The 'real-life' benefit of hearing preservation cochlear implantation in the paediatric population ...
Schaefer, Simone. - : Open Science Framework, 2022
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15
Assessing Self-Efficacy in Families of Children with Hearing Concerns through an Audiological Early Intervention Training
In: Appalachian Student Research Forum & Jay S. Boland Undergraduate Research Symposium (2022)
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16
Just-Noticeable Differences of Fundamental Frequency Change in Mandarin-Speaking Children with Cochlear Implants
In: Brain Sciences; Volume 12; Issue 4; Pages: 443 (2022)
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17
Becoming the Metalinguistic Mind: The Development of Metalinguistic Abilities in Children from 5 to 7
In: Children; Volume 9; Issue 4; Pages: 550 (2022)
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18
Prosodic Feature-Based Discriminatively Trained Low Resource Speech Recognition System
In: Sustainability; Volume 14; Issue 2; Pages: 614 (2022)
Abstract: Speech recognition has been an active field of research in the last few decades since it facilitates better human–computer interaction. Native language automatic speech recognition (ASR) systems are still underdeveloped. Punjabi ASR systems are in their infancy stage because most research has been conducted only on adult speech systems; however, less work has been performed on Punjabi children’s ASR systems. This research aimed to build a prosodic feature-based automatic children speech recognition system using discriminative modeling techniques. The corpus of Punjabi children’s speech has various runtime challenges, such as acoustic variations with varying speakers’ ages. Efforts were made to implement out-domain data augmentation to overcome such issues using Tacotron-based text to a speech synthesizer. The prosodic features were extracted from Punjabi children’s speech corpus, then particular prosodic features were coupled with Mel Frequency Cepstral Coefficient (MFCC) features before being submitted to an ASR framework. The system modeling process investigated various approaches, which included Maximum Mutual Information (MMI), Boosted Maximum Mutual Information (bMMI), and feature-based Maximum Mutual Information (fMMI). The out-domain data augmentation was performed to enhance the corpus. After that, prosodic features were also extracted from the extended corpus, and experiments were conducted on both individual and integrated prosodic-based acoustic features. It was observed that the fMMI technique exhibited 20% to 25% relative improvement in word error rate compared with MMI and bMMI techniques. Further, it was enhanced using an augmented dataset and hybrid front-end features (MFCC + POV + Fo + Voice quality) with a relative improvement of 13% compared with the earlier baseline system.
Keyword: children Punjabi ASR; data augmentation; discriminative techniques; feature extraction; prosodic features
URL: https://doi.org/10.3390/su14020614
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19
Emergent Neuroimaging Findings for Written Expression in Children: A Scoping Review
In: Brain Sciences; Volume 12; Issue 3; Pages: 406 (2022)
BASE
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20
Literacy Acquisition Trajectories in Bilingual Language Minority Children and Monolingual Peers with Similar or Different SES: A Three-Year Longitudinal Study
In: Brain Sciences; Volume 12; Issue 5; Pages: 563 (2022)
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