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adapted links after move, bumped version, preparing for release
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proycon committed Apr 8, 2021
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9 changes: 5 additions & 4 deletions README.md
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# fy_nl_ASR
Frisian-Dutch Automatic Speech Recognition Webservice
# Frisian-Dutch Automatic Speech Recognition Webservice

This webservice uses the Frisian-Dutch code-switching automatic speech recognition system developed in the scope of the FAME! Project (www.fame.frl). The details of the acoustic and language model used in this webservice can be found at
This webservice uses the Frisian-Dutch code-switching automatic speech recognition system developed in the scope of the
FAME! Project (www.fame.frl). The details of the acoustic and language model used in this webservice can be found at

E. Yılmaz, H. van den Heuvel and D. van Leeuwen, “Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech,” in Proc. INTERSPEECH, pp. 1933-1937, Hyderabad, India, Sept. 2018.
E. Yılmaz, H. van den Heuvel and D. van Leeuwen, “Acoustic and Textual Data Augmentation for Improved ASR of
Code-Switching Speech,” in Proc. INTERSPEECH, pp. 1933-1937, Hyderabad, India, Sept. 2018.
10 changes: 5 additions & 5 deletions codemeta.json
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"@type": "SoftwareSourceCode",
"identifier": "fy-nl_ASR",
"name": "Frisian-Dutch Automatic Speech Recognition",
"version": "0.1",
"version": "0.2",
"description": "This webservice uses the Frisian-Dutch code-switching automatic speech recognition system developed in the scope of the FAME! Project (www.fame.frl).",
"license": "unknown",
"url": "https://github.com/schemreier/fy-nl_ASR",
"url": "https://github.com/opensource-spraakherkenning-nl/fy-nl_ASR",
"producer": {
"@id": "https://www.ru.nl/clst",
"@type": "Organization",
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],
"sourceOrganization": { "@id": "https://www.ru.nl/clst" },
"operatingSystem": "POSIX",
"codeRepository": "https://github.com/schemreier/fy-nl_ASR",
"codeRepository": "https://github.com/opensource-spraakherkenning-nl/fy-nl_ASR",
"softwareRequirements": [
{
"@type": "SoftwareApplication",
"identifier": "kaldi",
"name": "kaldi"
}
],
"readme": "https://github.com/schemreier/fy-nl_ASR/blob/master/README.md",
"issueTracker": "https://github.com/schemreier/fy-nl_ASR/issues",
"readme": "https://github.com/opensource-spraakherkenning-nl/fy-nl_ASR/blob/master/README.md",
"issueTracker": "https://github.com/opensource-spraakherkenning-nl/fy-nl_ASR/issues",
"developmentStatus": "active",
"keywords": [ "nlp", "speech recognition", "dutch" ],
"dateCreated": "2018-05-17"
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8 changes: 7 additions & 1 deletion fy_nl_ASR/fy_nl_ASR.py
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import os
from base64 import b64decode as D

REQUIRE_VERSION = 2.2
REQUIRE_VERSION = 3.0

CLAMDIR = clam.__path__[0] #directory where CLAM is installed, detected automatically
WEBSERVICEDIR = os.path.dirname(os.path.abspath(__file__)) #directory where this webservice is installed, detected automatically
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#System name, the way the system is presented to the world
SYSTEM_NAME = "Frisian-Dutch Automatic Speech Recognition System"

SYSTEM_AUTHOR = "Emre Yılmaz"

SYSTEM_AFFILIATION = "Centre for Language and Speech Technology, Radboud University"

SYSTEM_VERSION = "0.2"

#An informative description for this system (this should be fairly short, about one paragraph, and may not contain HTML)
SYSTEM_DESCRIPTION = "This webservice uses automatic speech recognition to provide the transcriptions of recordings spoken in Frisian, Dutch and Frisian-Dutch (code-switching) recordings. You can upload and process only one file per project. For bulk processing and other questions, please contact Henk van den Heuvel at h.vandenheuvel@let.ru.nl."

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6 changes: 3 additions & 3 deletions setup.py
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setup(
name = "fy_nl_ASR",
version = "0.1",
version = "0.2",
author = "Emre Yılmaz",
author_email = "emre@nus.edu.sg",
description = ("Frisian Dutch Automatic Speech Recognition Webservice"),
license = "unknown",
keywords = "clam webservice rest nlp computational_linguistics rest",
url = "https://github.com/schemreier/fy-nl_ASR",
url = "https://github.com/opensource-spraakherkenning-nl/fy-nl_ASR",
packages=['fy_nl_ASR'],
long_description=read('README.md'),
classifiers=[
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],
package_data = {'fy_nl_ASR':['*.sh','*.wsgi','*.yml'] },
include_package_data=True,
install_requires=['CLAM >= 2.3']
install_requires=['CLAM >= 3.0']
)

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