Statistical methods in phonetic sciences

Timo B. Roettger (University of Cologne,
Bodo Winter (University of Birmingham,

Workshop time and place
The workshop will be held in Cologne on June 11, 2017, as part of the Phonetics and Phonology in Europe (PaPE) conference.

Workshop description
Phonetics as a field has its own set of analysis methods and methodological assumptions that have grown in response to the demands of speech as a data source. As new statistical methods and experimental design ideas come in from other fields (data science, psycholinguistics, cognitive science), it is important to have an open discourse about the methodological basis of phonetics as a field. What insights from other fields can help improve methodological practice? In what way is phonetics unique and requires its own set of methods? In what ways can the practice of data analysis in phonetics be improved? In what way does statistics education in phonetics need to be altered to keep up with new developments in the field?

We invite contributions that deal with statistics in phonetics, broadly construed. We particularly welcome contributions that critically discuss existing methodological practices and discuss ways in which data analysis and experiment design in phonetics can be improved. Broad topics may include, but are not limited to, the use and misuse of particular statistical methodologies (mixed models, GAMs, random forests etc.), ways of improving reproducibility, data cleaning and model selection practices. We also welcome contributions to specific topics of relevance to phonetics, such as the statistical modelling of individual differences, the analysis of sociophonetic dynamics, or the analysis of time series data (e.g., F0 trajectories, articulatory gestures). Contributions that provide simulation results (e.g., Type I error simulations, power simulations), meta-analyses or formal comparisons of different statistical methods are particularly encouraged. Finally, since the communication of statistical results is an integral part of the analysis process, we also welcome contributions that focus on data visualization and statistical reporting.

Presentations will be 20 minutes followed by 5 minutes for discussion. Talks will be followed by a 30-minute panel discussion.

Abstracts should be maximally one page of text plus an additional page for figures, references etc and should be sent as a PDF file to All abstracts will be reviewed by the two organizers individually.

Important dates

November 30, 2016:                first call for abstract submission

January 5, 2017:                       second call

January 31, 2017:                     abstract submission deadline

February 28, 2017:                  notification of acceptance

March 31, 2017:                       program finalization

June 11, 2017:                          workshop