CorpusViz: Child and Adult Speech Visualisation

Abstract

Speech and language researchers often rely on large, naturalistic, audio-visual corpora to identify and measure patterns of language structure, variation, change and use. There are, however, few visualization tools designed for this need. This paper proposes a novel visual analytic method to process large linguistic corpora by employing Bayes' Theorem and interactive visualization. We adopt a simple and meaningful design in our visualization for linguists to understand. Instead of offering a fixed visualization, this project enables greater interaction through filtering, grouping and dragging. Multiple phases are included in the system, from processing the metadata exported from popular standalone linguistic software, to creating the visualization, and enabling interaction and filtering.