Polish Automatic Speech Recognition Challenge
Automatic speech recognition (ASR) has made significant progress over the last decade. Improvements in deep learning and increased data availability have resulted in accuracy levels for artificial speech transcription that are on par with human transcription, at least in specific domains, tasks, and speech characteristics. ASR technology has expanded to cover many new languages, use cases, user demographics, and devices. However, achieving robust speech recognition remains a challenge for many low-resource languages, specific speaker groups, application domains, and acoustic conditions. [ver. 1.0.14]
Deadline: 2024-10-28 23:59:00 UTC
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Paweł Cyrta
2024-10-01 07:13
submitted a solution:00 test submission
LIT-MR
2024-09-04 13:37
submitted a solution:whisper-large-v3-mix-01-50k
LIT-MR
2024-09-04 13:35
submitted a solution:whisper-large-v3-mix-00-18k-beam4
LIT-MR
2024-09-04 13:33
submitted a solution:whisper-large-v3-baseline-13k-beam4
LIT-MR
2024-08-28 10:57
submitted a solution:whisper-large-v3-mix-01-25k-beam4
LIT-MR
2024-08-28 08:49
submitted a solution:conformer-baseline-500k
LIT-MR
2024-08-28 08:19
submitted a solution:conformer-mix-00-500k
LIT-MR
2024-08-28 06:53
submitted a solution:conformer-mix-01-500k
LIT-MR
2024-08-27 11:57
submitted a solution:whisper-large-v3-mix-01-25k
[name not given]
2024-05-24 10:10
submitted a solution:test
[name not given]
2024-05-24 10:08
submitted a solution:test error
[name not given]
2024-05-24 09:37
submitted a solution:test
ryssta
2024-03-11 08:37
submitted a solution:Test dev-0
[name not given]
2024-03-10 14:13
submitted a solution:1234