Joe Rodd
Max Planck Society
15 Papers
23 Citations
Joe Rodd is an academic researcher from Max Planck Society. The author has contributed to research in topics: Computer science & Apraxia. The author has an hindex of 3, co-authored 14 publications. Previous affiliations of Joe Rodd include Radboud University Nijmegen & Utrecht University.
Chat about Author
Papers
A tool for efficient and accurate segmentation of speech data: announcing POnSS
TL;DR: POnSS is introduced, a browser-based system that is specialized for the task of segmenting the onsets and offsets of words, which combines aspects of ASR with limited human input and represents a distinct methodological advance for the segmentation of speech data.
•Dissertation
The Effect of Explicit Training on the Prosodic Production of L2 Sarcasm by Dutch Learners of English
Laura Smorenburg,Joe Rodd,Aoju Chen,Aoju Chen +3 more
- 22 Apr 2015
TL;DR: It is shown that prosody training can have an effect on L2 learner’s prosodic ability in the L2, and some sentence types received higher average scores than others.
Testing hypotheses about the underlying deficit of apraxia of speech through computational neural modelling with the DIVA model.
Hayo Terband,Joe Rodd,Edwin Maas +2 more
TL;DR: A recent behavioural experiment featuring a noise masking paradigm suggests that Apraxia of Speech (AOS) reflects a disruption of feedforward control, whereas feedback control is spared an....
Control of speaking rate is achieved by switching between qualitatively distinct cognitive "gaits": Evidence from simulation.
TL;DR: This study provides the first computationally explicit account of the ability to modulate the speech production system to achieve different speaking styles through simulations of a new connectionist computational model of the cognitive process of speech production, EPONA.
•Journal Article
Deriving the onset and offset times of planning units from acoustic and articulatory measurements
TL;DR: The authors presented and validated two simple metrics that derive planning unit onset and offset times from the acoustic signal and articulatographic data, and showed that the temporal dynamics of the speech signal is a poor index of the underlying speech planning process.
4