| Name | paule JSON |
| Version |
0.4.5
JSON |
| download |
| home_page | https://paule.readthedocs.io/en/latest/ |
| Summary | paule implements the Predictive Articulatory speech synthesis model Utilizing Lexical Embeddings (PAULE), which is a control model for the articulatory speech synthesizer VocalTractLab (VTL). |
| upload_time | 2024-05-31 15:23:34 |
| maintainer | None |
| docs_url | None |
| author | Konstantin Sering |
| requires_python | <3.13,>=3.9 |
| license | GPLv3+ |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
PAULE
=====
.. image:: https://zenodo.org/badge/355606517.svg
:target: https://zenodo.org/badge/latestdoi/355606517
Predictive Articulatory speech synthesis Utilizing Lexical Embeddings (PAULE) a
python frame work to plan control parameter trajectories for the VocalTractLab
simulator for a target acoustics or semantic embedding.
.. image:: https://raw.githubusercontent.com/quantling/paule/main/docs/figure/vtl_3d_vtl_midsagittal_cps_audio.png
:width: 800
:alt: A 3d vocal tract shape, a midsagittal slice, control parameter trajectories and a wave form.
Installation
------------
::
pip install paule
Overview
--------
.. image:: https://raw.githubusercontent.com/quantling/paule/main/docs/figure/framework_simplified.png
:width: 800
:alt: Box and arrow overview of the PAULE model.
Example
-------
A minimal example can be found at https://raw.githubusercontent.com/quantling/paule/main/docs/examples/minimal_example.py
Cite
----
To cite the PAULE model use::
@book{PAULEthesis,
title = "{P}redictive {A}rticulatory speech synthesis {U}tilizing {L}exical {E}mbeddings ({PAULE})",
author = "Sering, Konstantin",
year = 2023,
publisher = "Universität Tübingen",
address = "Tübingen",
doi = {10.15496/publikation-90142}
}
To cite the PAULE source code use the DOI 10.5281/zenodo.7252431
(https://zenodo.org/doi/10.5281/zenodo.7252431), if you want to cite the
software in general or the specific DOI on Zenodo.
Acknowledgements
----------------
This research was supported by an ERC advanced Grant (no. 742545), by the DfG grant 527671319 ("Komplexe Wörter im Kontext“), and the University of Tübingen.
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