ArticleBehavior research methods2019
Understanding spoken language through TalkBank.
Article in Behavior research methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence, Speech, and Language Processing Approaches to Monitoring Alzheimer's Disease: A Systematic Review.Journal of Alzheimer's disease : JAD · 2020Pooled it
- Extending standardized speech analysis across languages: An Italian toolkit for transcription and coding of neurological speech.Behavior research methods · 2026Article
- Assessing the use of automatic speech recognition and large language models for individuals with language impairments.Nature communications · 2026Article
- Increasing Educator Resources for Mild Cognitive Impairment and Dementia Using a Knowledge-to-Action Framework: The Development of DementiaBank Grand Rounds.American journal of speech-language pathology · 2026Article
- Integrating acoustic, prosodic, and phonological features for automatic Alzheimer's detection.Frontiers in aging neuroscience · 2026Article
- Article
- Screening autism spectrum disorder in children using machine learning on speech transcripts.Scientific reports · 2025Article
- Developing digital health technologies for frontotemporal degeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Article
- Conducting high-quality and reliable acoustic analysis: A tutorial focused on training research assistants.The Journal of the Acoustical Society of America · 2024Article
- DementiaBank: Theoretical Rationale, Protocol, and Illustrative Analyses.American journal of speech-language pathology · 2023Article
- Is Collaborative Open Science Possible With Speech Data in Psychiatric Disorders?Schizophrenia bulletin · 2022Article
- Dynamic Norming and Open Science.Journal of speech, language, and hearing research : JSLHR · 2022Article
- Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech.Frontiers in aging neuroscience · 2021Article
- The Macroscope: A tool for examining the historical structure of language.Behavior research methods · 2019Article
- Comparing apples to manzanas and oranges to naranjas: A new measure of English-Spanish vocabulary for dual language learners.Infancy : the official journal of the International Society on Infant StudiesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Ongoing advances in computer technology have opened up a deluge of new datasets for understanding human behavior (Goldstone & Lupyan, 2016). Many of these datasets provide information on the use of written language. However, data on naturally occurring spoken-language conversations are much more difficult to obtain. A major exception to this is the TalkBank system, which provides online multimedia data for 14 types of spoken-language data: language in aphasia, child language, stuttering, child phonology, autism spectrum disorder, bilingualism, Conversation Analysis, classroom discourse, dementia, right hemisphere damage, Danish conversation, second language learning, traumatic brain injury, and daylong recordings in the home. The present report reviews these resources and describes the ways they are being used to further our understanding of human language and communication.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.