ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Detecting changes in speech expressiveness in participants of a radio program

Plínio A. Barbosa

A method for speech expressiveness change detection is presented which combines a dimensional analysis of speech expression, a Principal Component Analysis technique, as well as multiple regression analysis. From the three inferred rates of activation, valence, and involvement, two PCA-factors explain 97% of the variance of the judges’ evaluations of a corpus of radio show interaction. The multiple regression analysis predicted the values of the two listener-oriented, PCA-derived dimensions of promptness and empathy from the acoustic parameters automatically obtained from a set of 206 utterances produced by radio show’s participants. Analysed chronologically, the utterances reveal expression change from automatic acoustic analysis.


doi: 10.21437/Interspeech.2009-615

Cite as: Barbosa, P.A. (2009) Detecting changes in speech expressiveness in participants of a radio program. Proc. Interspeech 2009, 2155-2158, doi: 10.21437/Interspeech.2009-615

@inproceedings{barbosa09c_interspeech,
  author={Plínio A. Barbosa},
  title={{Detecting changes in speech expressiveness in participants of a radio program}},
  year=2009,
  booktitle={Proc. Interspeech 2009},
  pages={2155--2158},
  doi={10.21437/Interspeech.2009-615}
}