An automated pipeline for efficiently generating standardized, child-friendly audiovisual language stimuli
Year: 2026
Type: article
Abstract: Creating engaging language stimuli suitable for children can be difficult and time-consuming. To simplify and accelerate the process, we developed an automated pipeline that combines existing audio generation and animation tools to generate customizable audiovisual stimuli from text input. The pipeline consists of two components: the first uses Google Cloud Text-to-Speech to generate audio stimuli from text, and the second uses Adobe Character Animator to create video stimuli in which an animated character “speaks” the audio with speech-aligned mouth movements. We evaluated the pipeline with two stimulus sets, including an acoustic comparison between generated audio stimuli and existing human-recorded stimuli. The pipeline is efficient, taking less than 2 minutes to generate each audiovisual stimulus, and fewer than 9% of stimuli needed to be regenerated. The audio generation component is particularly fast, taking less than 1 second per stimulus. By leveraging automated tools for language stimulus creation, this pipeline can facilitate developmental research on language and other domains of cognition, especially in cognitive neuroscience studies that require large numbers of stimuli. • Creating engaging audiovisual stimuli can be difficult and time-consuming. • Automated tools can simplify and accelerate the stimulus generation process. • We created an automated pipeline to generate audiovisual stimuli from text input. • Audio and visual stimuli features can be customized. • The pipeline can generate animated videos in less than 2 minutes with minimal errors.
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,650
Funders: Simons Foundation, Massachusetts Institute of Technology, National Institutes of Health, Simons Center for the Social Brain, Massachusetts Institute of Technology, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Quest for Intelligence, Massachusetts Institute of Technology, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Award: G4124128778
OpenAlex ID: W7123919218
