Automatically Calculated Context-Sensitive Features of Connected Speech Improve Prediction of Impairment in Alzheimer’s Disease
- Graham Flick
- Rachel Ostrand
- 2025
- J. Speech Lang. Hear. Res.
Publications
19 results for Rachel Ostrand
Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators
- Hyo Jin Do
- Rachel Ostrand
- et al.
- 2025
- AIES 2025
Humans Linguistically Align to their Conversational Partners, and Language Models Should Too
- Rachel Ostrand
- Sara Berger
- 2024
- ICML 2024
Say what? Real-time linguistic guidance supports novices in writing utterances for conversational agent training
- Rachel Ostrand
- Krissy Brimijoin
- et al.
- 2024
- CUI 2024
Towards Interactive Guidance for Writing Training Utterances for Conversational Agents
- David Piorkowski
- Rachel Ostrand
- et al.
- 2024
- CUI 2024
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
- Hyo Jin Do
- Rachel Ostrand
- et al.
- 2024
- CHI 2024
Lexical Speech Features of Spontaneous Speech in Older Persons With and Without Cognitive Impairment: Reliability Analysis
- Phillip Hamrick
- Victoria Sanborn
- et al.
- 2023
- JMIR Aging
Rapid Lexical Alignment to a Conversational Agent
- Rachel Ostrand
- Victor S. Ferreira
- et al.
- 2023
- INTERSPEECH 2023
Semantic priming from McGurk words: Priming depends on perception
- Josh Dorsi
- Rachel Ostrand
- et al.
- 2023
- Atten. Percept. Psychophys
Automatically calculated lexical and sentential context features of connected speech predict cognitive impairment
- Graham Flick
- Rachel Ostrand
- 2023
- INS Annual Meeting 2023