Publication: Measuring acoustic dissimilarity of hierarchical markers in task-oriented dialogue with MFCC-based dynamic time warping
Measuring acoustic dissimilarity of hierarchical markers in task-oriented dialogue with MFCC-based dynamic time warping
Date
Date
Date
Citations
Morozova, N., You, G., Stoll, S., & Bangerter, A. (2024). Measuring acoustic dissimilarity of hierarchical markers in task-oriented dialogue with MFCC-based dynamic time warping. Proceedings of the International Conference on Spoken Language Processing, 4763–4767. https://doi.org/10.21437/interspeech.2024-2204
Abstract
Abstract
Abstract
Joint activities (e.g. building a LEGO model) unfold in a hierarchy of subprojects. Navigating them implies horizontally elaborating on a subproject (placing one block) and vertically moving to a new subproject (next block). Interactants coordinate horizontal and vertical transitions with project markers (okay, yeah). We suggest that vertical vs. horizontal transitions are distinguished both lexically and acoustically. We predicted that acoustic features of identical markers used for different transitions (okay-vertical vs. okay-horiz
Additional indexing
Creators (Authors)
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Country
Event Country
Event Country
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Date available
Date available
Date available
Series Name
Series Name
Series Name
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Citations
Morozova, N., You, G., Stoll, S., & Bangerter, A. (2024). Measuring acoustic dissimilarity of hierarchical markers in task-oriented dialogue with MFCC-based dynamic time warping. Proceedings of the International Conference on Spoken Language Processing, 4763–4767. https://doi.org/10.21437/interspeech.2024-2204