14 citations · 20 across the 5 of their papers we have counts for
5 papers
DDKtor: Automatic Diadochokinetic Speech Analysis
Yael Segal, Kasia Hitczenko, Matthew Goldrick +3
Diadochokinetic speech tasks (DDK), in which participants repeatedly produce syllables, are commonly used as part of the assessment of speech motor impairments. These studies rely…
Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems
Paul Smolensky, R. Thomas McCoy, Roland Fernandez +2
What explains the dramatic progress from 20th-century to 21st-century AI, and how can the remaining limitations of current AI be overcome? The widely accepted narrative attributes…
Dr.VOT : Measuring Positive and Negative Voice Onset Time in the Wild
Yosi Shrem, Matthew Goldrick, Joseph Keshet
Voice Onset Time (VOT), a key measurement of speech for basic research and applied medical studies, is the time between the onset of a stop burst and the onset of voicing. When the…
Automatic measurement of vowel duration via structured prediction
Yossi Adi, Joseph Keshet, Emily Cibelli +3
A key barrier to making phonetic studies scalable and replicable is the need to rely on subjective, manual annotation. To help meet this challenge, a machine learning algorithm was…
Sequence Segmentation Using Joint RNN and Structured Prediction Models
Yossi Adi, Joseph Keshet, Emily Cibelli +1
We describe and analyze a simple and effective algorithm for sequence segmentation applied to speech processing tasks. We propose a neural architecture that is composed of two modu…