Towards Automatic Recognition of Prosody

Sonia Cenceschi, Licia Sbattella, Roberto Tedesco


The term prosody defines the group of audio paralinguistic and suprasegmental cues involved in the communicative and understanding process of human speech. This paper presents our approach to automatic recognition of prosodic forms. In particular, we present: CALLIOPE, a multi-dimensional model aiming at categorising all prosodic forms; SI-CALLIOPE, a sub-space for which we defined a corpus of recorder prosodic forms; and the psychoacoustic experiment we are currently carrying on for investigating main acoustic behaviours and features involved into the discrimination of prosodic forms. The results of the experiment will be useful for defining the feature set to rely on for automatic recognition of prosodies. For that reason, we are also defining a classifier, based on Neural Nets. This study is part of the LYV project, which focuses on improving prosodic expressiveness skills of Italian speakers with autism and other cognitive disabilities.


 DOI: 10.21437/SpeechProsody.2018-65

Cite as: Cenceschi, S., Sbattella, L., Tedesco, R. (2018) Towards Automatic Recognition of Prosody. Proc. 9th International Conference on Speech Prosody 2018, 319-323, DOI: 10.21437/SpeechProsody.2018-65.


@inproceedings{Cenceschi2018,
  author={Sonia Cenceschi and Licia Sbattella and Roberto Tedesco},
  title={Towards Automatic Recognition of Prosody},
  year=2018,
  booktitle={Proc. 9th International Conference on Speech Prosody 2018},
  pages={319--323},
  doi={10.21437/SpeechProsody.2018-65},
  url={http://dx.doi.org/10.21437/SpeechProsody.2018-65}
}