1 |
A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Greek in contact: a historical-acoustic investigation of Asia Minor Greek intonational patterns ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Dissociation between speech modalities in a case of altered accent with unknown origin
|
|
|
|
BASE
|
|
Show details
|
|
6 |
A spatial modeling approach for linguistic object data : analysing dialect sound variations across Great Britain
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Rejoinder for “A spatial modeling approach for linguistic object data : analysing dialect sound variations across Great Britain”
|
|
|
|
BASE
|
|
Show details
|
|
8 |
The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages
|
|
|
|
BASE
|
|
Show details
|
|
11 |
A Spatial Modeling Approach for Linguistic Object Data: Analysing dialect sound variations across Great Britain ...
|
|
|
|
Abstract:
Dialect variation is of considerable interest in linguistics and other social sciences. However, traditionally it has been studied using proxies (transcriptions) rather than acoustic recordings directly. We introduce novel statistical techniques to analyse geolocalised speech recordings and to explore the spatial variation of pronunciations continuously over the region of interest, as opposed to traditional isoglosses, which provide a discrete partition of the region. Data of this type require an explicit modeling of the variation in the mean and the covariance. Usual Euclidean metrics are not appropriate, and we therefore introduce the concept of $d$-covariance, which allows consistent estimation both in space and at individual locations. We then propose spatial smoothing for these objects which accounts for the possibly non convex geometry of the domain of interest. We apply the proposed method to data from the spoken part of the British National Corpus, deposited at the British Library, London, and we ... : 18 figures ...
|
|
Keyword:
62G08, 62M30; Applications stat.AP; FOS Computer and information sciences; Methodology stat.ME
|
|
URL: https://arxiv.org/abs/1610.10040 https://dx.doi.org/10.48550/arxiv.1610.10040
|
|
BASE
|
|
Hide details
|
|
12 |
Variation and change in the use of hestitation markers in Germanic languages ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Variation and change in the use of hestitation markers in Germanic languages ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Variation and change in the use of hesitation markers in Germanic languages
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Data for The correlation space of Gaussian latent tree models and model selection without fitting
|
|
|
|
BASE
|
|
Show details
|
|
16 |
The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Gaussian Tree Constraints Applied to Acoustic Linguistic Functional Data ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|