Global Fellowship
Speech production is a highly planned activity involving the complex interplay of multiple brain regions. For this reason, speech can serve as a powerful tool for the early screening and monitoring of brain and cognitive-related disorders.
This lecture will introduce unique speech and language signatures observed across various clinical conditions, including Autism Spectrum Disorder, psychosis (e.g., Schizophrenia), and neurodegenerative disorders (e.g., Alzheimer’s disease). This analysis utilizes scalable analytical tools capable of automatically assessing cognitive and social functions.
The research findings suggest that automated speech and language metrics provide non-invasive, objective, and sensitive measures that can be beneficially employed for the screening and monitoring of individuals with diverse clinical conditions.
October 17, 2025
The fifth tutorial topic, Meta-analysis, is a research method that yields new information by analyzing the results of existing studies as data. It can also be applied to planning sample sizes through power analysis when designing an experiment.
Dr. Katie Von Holzen from the Technical University of Braunschweig, Germany, will first deliver a lecture on research that applies the meta-analysis methodology, followed by a hands-on session where participants can follow along. We hope this will be an excellent learning opportunity.
Part 1: Talk (Meta-analysis and mispronunciations)
Part 2: Hands-on follow-along (Practical session)
March 15, 2024
The fourth tutorial topic, WordSeg, addresses the fundamental question of how infants first learn words by locating word boundaries within the continuous stream of speech input, much like finding structure within flowing water.
The session compares the performance of various algorithms in segmenting words from corpus text input. It also shares a deep analysis of whether word segmentation performance is superior when the input data is Child-Directed Speech (CDS) compared to Adult-Directed Speech (ADS), and the reasons behind any observed superiority.
PART I: How caregivers' speech patterns enhance word segmentation: A computational modeling approach with a Korean corpus
Speaker : Jun Ho Chai, Research Professor, Institute for Data Science in Humanities, Chosun University
PART II: A tutorial on Grapheme-to-Phoneme conversion & WordSeg package
Speaker : Seongmin Mun, Research Professor, Institute for the Humanities, Ajou University
December 15, 2023
The third tutorial topic, ELAN, is a program used as a tool for annotating and analyzing audio and video materials. Researchers can add annotations for various linguistic and non-linguistic elements to videos of infant speech or interaction, and perform detailed analysis by synchronizing these with the media file's timeline.
The session will feature a research presentation by Dr. Rana Abu-Zhaya from University College London, followed by a tutorial on how to use ELAN, presented in Korean by SuHan Kim from Chosun University.
PART I: Unpacking the multimodal nature of early language environments: Evidence from naturalistic interactions with infants
Speaker: Dr. Rana Abu-Zhaya, Lecturer, University College London (Website)
PART II: ELAN Tutorial
Speaker: Suhan Kim (Master's Candidate), Chosun University
Software Information: ELAN Website
June 9, 2023
The second tutorial focuses on CHILDES, a database featuring transcribed dialogues of infants and young children. Researchers can extract desired information using web commands or the CLAN software, or utilize the childes-db package in R/Python for more tailored analysis according to individual research goals.
The session will begin with a research presentation by Dr. Stephan Meylan from MIT, followed by a tutorial on how to use CHILDES, presented in Korean by Jinyoung Jo (PhD Candidate) from UCLA.
PART I: Child-directed listening: How adults understand what young children say
Speaker : Dr. Stephan Meylan, MIT (Website)
PART II: A tutorial on how to use CHILDES (CHILDES Link)
Speaker: Jinyoung Jo (PhD Candidate), UCLA (Website)
May 19, 2023
In this lecture, Professor Michael C. Frank of Stanford University will introduce large-scale data-driven approaches to the study of child language development worldwide.
While all children learn language, there are significant individual differences in the pace and manner of acquisition. Professor Frank has established large-scale, public databases, such as Wordbank and Peekbank, to predict this variation and to identify developmental patterns that are common across different languages and cultures.
The presentation will share the latest research findings on understanding the variability and universality of child language learning, focusing on predictive modeling research built upon these massive data resources.
April 12, 2023