-------- Message transféré --------
Greetings Mariani J Joseph,
Call for Papers:
Special Session on Low-Resource ASR Development at INTERSPEECH
2022
We invite submission of original results or studies on automatic
speech recognition (ASR) technologies for low-resource languages
to the preliminarily accepted Low-Resource ASR Special Session at
INTERSPEECH 2022.
The special session aims to bring together researchers from all
sectors working on ASR (Automatic Speech Recognition) for
low-resource languages and dialects to discuss the state of the
art and future directions. It will allow for fruitful exchanges
between participants in low-resource ASR challenges and
evaluations and other researchers working on low-resource ASR
development.
One such challenge is the OpenASR Challenge series conducted by
NIST (National Institute of Standards and Technology) in
coordination with IARPA’s (Intelligence Advanced Research Projects
Activity) MATERIAL (Machine Translation for English Retrieval of
Information in Any Language) program. The most recent challenge,
OpenASR21, offered an ASR test of 15 low resource languages for
conversational telephone speech, with additional data genres and
case-sensitive scoring for some of the languages.
Another challenge is the Hindi ASR Challenge that was recently
opened to evaluate regional variations of Hindi with the use of
spontaneous telephone speech recordings made available by Gram
Vaani, a social technology enterprise company. The regional
variations of Hindi, together with spontaneity of speech, natural
background, and transcriptions with varying degrees of accuracy
due to crowd sourcing make it a unique corpus for automatic
recognition of spontaneous telephone speech in low-resource
regional variations of Hindi. A 1000 hours audio-only data (no
transcription) is also released with this challenge to explore
self-supervised training for such a low-resource framework.
We invite contributions from the OpenASR21 Challenge participants,
the MATERIAL performers, the Hindi ASR Challenge participants, and
any other researchers with relevant work in the low-resource ASR
problem space.
Topics:
Reports of results from tests of low-resource ASR, such as (but
not limited to) the NIST/IARPA OpenASR21 Challenge, IARPA MATERIAL
evaluations, and the Hindi ASR Challenge.
Topics focused on aspects of challenges and solutions in
low-resource settings, such as:
Zero- or few-shot learning methods
Transfer learning techniques
Cross-lingual training techniques
Use of pretrained models
Factors influencing ASR performance (such as dialect, gender,
genre, variations in training data amount, or casing)
Any other topics focused on low-resource ASR challenges and
solutions
URL:
https://www.nist.gov/itl/iad/mig/low-resource-asr-development-special-se...
[1]
Organizers:
Peter Bell, University of Edinburgh
Jayadev Billa, University of Southern California Information
Sciences Institute
Prasanta Ghosh, Indian Institute of Science, Bangalore
William Hartmann, Raytheon BBN Technologies
Kay Peterson, National Institute of Standards and Technology
Aaditeshwar Seth, Indian Institute of Technology, Delhi
Important dates:
Initial paper submission deadline: March 21, 2022
Please see the Important Dates section of the INTERSPEECH 2022
Call for Papers for the most up-to-date paper submission,
acceptance, and other relevant dates.
Read more:
https://www.aclweb.org/portal/content/special-session-low-resource-asr-development
[1]
https://www.nist.gov/itl/iad/mig/low-resource-asr-development-special-session-interspeech-2022
---
This is an automatic message from the ACL Member Portal.
If you want to change your alert profile, please visit
https://www.aclweb.org/portal/alerts/status
and login to your account using your username (Mariani J Joseph).
To unsubscribe from all ACL alerts and other announcements, visit
https://www.aclweb.org/portal/unsubscribe/6539/502a7792e3fd0