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Making Sense of Right Hemisphere Discourse Using RHDBank
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In: Top Lang Disord (2021)
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Discourse recovery after severe traumatic brain injury: exploring the first year
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In: Brain Inj (2019)
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Procedural discourse performance in adults with severe traumatic brain injury at 3 and 6 months post injury
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In: Brain Inj (2018)
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Conversational topics discussed by individuals with severe traumatic brain injury and their communication partners during sub-acute recovery
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In: Brain Inj (2016)
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| 6 |
Child Language Data Exchange System Tools for Clinical Analysis
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In: Semin Speech Lang (2016)
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| 7 |
Long-term Recovery in Stroke Accompanied by Aphasia: A Reconsideration
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| 8 |
HomeBank: An Online Repository of Daylong Child-Centered Audio Recordings
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Abstract:
HomeBank is introduced here. It is a public, permanent, extensible, online database of daylong audio recorded in naturalistic environments. HomeBank serves two primary purposes. First, it is a repository for raw audio and associated files: one database requires special permissions, and another redacted database allows unrestricted public access. Associated files include metadata such as participant demographics and clinical diagnostics, automated annotations, and human-generated transcriptions and annotations. Many recordings use the child-perspective LENA recorders (LENA Research Foundation, Boulder, Colorado, United States), but various recordings and metadata can be accommodated. The HomeBank database can have both vetted and unvetted recordings, with different levels of accessibility. Additionally, HomeBank is an open repository for processing and analysis tools for HomeBank or similar data sets. HomeBank is flexible for users and contributors, making primary data available to researchers, especially those in child development, linguistics, and audio engineering. HomeBank facilitates researchers’ access to large-scale data and tools, linking the acoustic, auditory, and linguistic characteristics of children’s environments with a variety of variables including socioeconomic status, family characteristics, language trajectories, and disorders. Automated processing applied to daylong home audio recordings is now becoming widely used in early intervention initiatives, helping parents to provide richer speech input to at-risk children.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/27111272
https://doi.org/10.1055/s-0036-1580745
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570530/
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| 10 |
The formulation of argument structure in SLI: an eye-movement study
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| 12 |
The Hebrew CHILDES corpus: transcription and morphological analysis
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| 13 |
Narrative comprehension and production in children with SLI: An eye movement study
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| 14 |
“Better But No Cigar”: Persons with Aphasia Speak about their Speech
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| 16 |
Computational models of child language learning: an introduction*
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| 18 |
Translation norms for English and Spanish: The role of lexical variables, word class, and L2 proficiency in negotiating translation ambiguity
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| 19 |
Introducing Phon: A Software Solution for the Study of Phonological Acquisition
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