Prosody-based token-level goal/detail classification, combined with in-context LLM prompting, disambiguates robot instructions better than text-only processing.
Data To evaluate our approach, we collected a novel accented speech dataset of 35 ambiguous instructions , inspired by [15]
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Enhancing Speech Instruction Understanding and Disambiguation in Robotics via Speech Prosody
Prosody-based token-level goal/detail classification, combined with in-context LLM prompting, disambiguates robot instructions better than text-only processing.