Entrainment-Metrics is all about being able to measure entrainment. Entrainment in spoken dialogue is commonly defined as a tendency of a speaker to adapt some properties of her speech to match her interlocutor’s. With this library you'll be able to measure entrainment along one dimension: acoustic-prosodic (a/p) features.
Checkout the :ref:`getting_started` page for a deeper dive into the library!
A step-by-step tutorial is also available as a Jupyter notebook here.
This library is based on two papers:
- Ramiro H. Gálvez, Lara Gauder, Jordi Luque, and Agustín Gravano (2020). "A unifying framework for modeling acoustic/prosodic entrainment: definition and evaluation on two large corpora". In Proceedings of SIGDIAL 2020.
- Juan M. Pérez, Ramiro H. Gálvez, and Agustín Gravano (2016). "Disentrainment may be a Positive Thing: A Novel Measure of Unsigned Acoustic-Prosodic Synchrony, and its Relation to Speaker Engagement". In Proceedings of INTERSPEECH 2016.
.. toctree:: :maxdepth: 2 :caption: Contents:
.. toctree:: usage/index modules/ipu modules/index