Eva Lasarcyk
Papers
1
Total Citations
3
H-Index
1
About
Eva Lasarcyk is a researcher whose work lies at the intersection of speech synthesis, prosody, and human-machine interaction. Her key research areas include articulatory speech synthesis, the modelling of prosodic cues, and the perception of naturalness and emotion in synthetic speech. Her most notable contribution is a 2013 study on modelling prosodic cues to convey uncertainty in synthetic speech, where she embedded stimuli into short human-machine dialogues. By varying the intended level of uncertainty in a robot's answers, Lasarcyk demonstrated how subtle prosodic adjustments can significantly impact perceived naturalness and communicative effectiveness. This work, cited 3 times, provides foundational insights for creating more expressive and believable synthetic voices. Her research is particularly valuable for developers of conversational agents and assistive technologies, as it highlights the importance of prosody in making synthetic speech sound less robotic and more human. Lasarcyk's findings continue to inform the design of more engaging and context-aware speech interfaces.
Research Focus
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Top Papers
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