NNArt2020: Neural network models for articulatory gestures 2020 Conference

Е-мейл Оргкомітету: https://easychair.org/conferences/?conf=nnart2020

Організатори: University of British Columbia

This workshop aims at bringing together researchers interested in such modelling and to foster research collaborations (also sharing of datasets) . Possible topics for papers are:

    Whether it is possible to capture invariants, language-independent predictable patterns that apply to all articulation
    If transfer learning is possible, i.e. if a network trained on articulatory features in one speaker and, ultimately, language can be mapped onto the pattern of another speaker (or language)
    If annotation of gestures can be aided by generating most likely gesture structures, analogous to the derivation of articulation from acoustics (e.g., Mitra, Vikramjit, et al. 2010)
    If diagnostic classification is possible on networks that model articulation, analogous to e.g., the detection of counterparts to compositionality in a model of arithmetic grammar by Hupkes & Zuidema (2017)

Веб-сторінка конференції: https://easychair.org/cfp/nnart2020