Aiming Jiang
Papers
1
Total Citations
2
H-Index
1
About
Aiming Jiang is a researcher specializing in speech processing, human-robot interaction, and the acoustic analysis of stressed speech. Their work addresses a critical challenge in human-robot interfaces: how workload-induced stress alters speech production, degrading the reliability of speech recognition systems. In their most-cited study, "Glottal source related to stressed speech under workload in human-robot interface" (2017), Jiang investigates how stress from cognitive or physical workload affects the glottal source—the fundamental vibration of the vocal folds—leading to measurable variations in pronunciation. By characterizing these acoustic changes, Jiang provides foundational insights for designing more robust, stress-adaptive speech interfaces. Although early in their citation impact (2 citations for this key paper), the work holds significant potential for advancing human-robot communication, particularly in high-stakes environments like aviation, emergency response, or manufacturing. Jiang’s research bridges phonetics, engineering, and cognitive science, offering a pathway to more natural and resilient voice-controlled systems. Their contributions are especially relevant for students and researchers exploring the intersection of speech science and interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1