Brown Bag

2019-2020 Talks

LYLE 1150: 12:30-1:30pm

January 27, 2020

Dr. Amanda Seidl, Professor & Interim Head, Department of Nutrition Science

Does variation in early language experience impact vocal development

Canonical babble development is predictive of later language outcomes and delayed emergence of canonical babble is often found in children who go on to develop speech and language disorders. However, findings related to vocal development have been garnered from a limited set of languages/cultures leading to a potentially biased sample. Biased sampling may make it difficult to use such measures to reliably detect delays and disorders in all populations.
We used a novel daylong recording processing strategy and citizen science annotators to explore change in the canonical babbling ratio with age from recordings gathered from 6 different cultures in their home environments. This data set may help to draw a clearer picture of canonical babble emergence world-wide.
Overall, results align with previous work and reveal a high degree of consistency in babbling emergence within our culturally and linguistically diverse data set (which is shareable with other research groups). Findings serve to increase confidence about the universality of canonical babble development, but also help validate automatic extraction and crowd sourced labeling as viable methods for data processing and annotation of daylong audio recordings of children’s language environments.
 

January 13, 2020

Dr. Keith Kluender, Professor in SLHS

Long-standing Problems in Speech Perception Dissolve within an Information-theoretic Perspective

An information theoretic framework is proposed to dissolve (rather than attempt to solve) multiple longstanding problems concerning speech perception. By this view, speech perception can be reframed as a series of processes through which sensitivity to information – that which changes and/or is unpredictable – becomes increasingly sophisticated and shaped by experience. By this perspective, problems concerning appropriate objects of perception (gestures versus sounds), rate normalization, variance consequent to articulation, and talker normalization dissolve. Application of discriminative models founded on information theory provides a productive approach to answer questions concerning perception of speech, and perception most broadly.

 

Speech, Language, & Hearing Sciences, Lyles-Porter Hall, 715 Clinic Drive, West Lafayette, IN 47907-2122, PH: (765) 494-3789

2016 Purdue University | An equal access/equal opportunity university | Copyright Complaints | Maintained by SLHS

If you have trouble accessing this page because of a disability, please contact the webmaster at slhswebhelp@purdue.edu.