22.05.2015 - 16:35
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Department of Linguistics

Max Planck Institute for Evolutionary Anthropology

Deutscher Platz 6
D-04103 Leipzig

phone: +49 (0) 341 3550 - 300
fax: +49 (0) 341 3550 - 333

e-mail: cissewski@[>>> Please remove the brackets! <<<]eva.mpg.de

Leonardo Lancia

Max Planck Institute for Evolutionary Anthropology
Deutscher Platz 6
04103 Leipzig

tel.: +49 (341) 3550 - 342
e-mail: leonardo_lancia@[>>> Please remove the brackets! <<<]eva.mpg.de

office: U0.13

ResearchGate profile


I consider variability in speech perception and production to be due to the flexibility and to the complexity of the speech processing system. In a dynamic systems approach, flexible behavior can be the result of interactions between simple deterministic dynamic laws. This assumption comes with a commitment to an integrated approach to studying the different factors that affect speech processing. I therefore tend to study those phenomena that can be explained by the interactions between various linguistic and nonlinguistic factors (e.g. pysiological and cognitive factors).

To cope with the complexity underlying the data observed, I adopt a modeling approach in which factors of different natures can often be conceived of as constraints whose effects on linguistic behavior can be represented by systems that are either static, or dynamic with a probabilistic component. 

An important aspect of this modeling approach is that the behavior of the theoretical models is so flexible that it becomes hard to test predictions that rely on classical analysis methods based on a static conception of speech processing. Part of my work is devoted to developing analytical tools designed to model the time-variant behavior of the multiple parameters that describe speech signals as a physical object. To this end I usually adopt tools developed within the frameworks of functional data analysis and nonlinear dynamics, but then adapt them specifically for analyzing speech signals.

Research Interests

  • Articulatory and acoustic phonetics
  • Speech and voice quality perception
  • Models of cognitive processing
  • Signal analysis and comparison methods