# Korean speech recognition
Phi 4 Multimodal Instruct Ko Asr
A Korean automatic speech recognition (ASR) and speech translation (AST) model fine-tuned based on microsoft/Phi-4-multimodal-instruct, demonstrating excellent performance on the zeroth-korean and fleurs datasets.
Text-to-Audio
Transformers Korean

P
junnei
354
3
Whisper Large V3 Turbo Korean
A Whisper Large V3 Turbo model fine-tuned on the zeroth Korean dataset, optimized for Korean speech recognition tasks
Speech Recognition
TensorBoard Korean

W
ghost613
458
6
Wav2vec2 Base Korean
Fine-tuned based on Facebook's wav2vec2-base model, specifically optimized for Korean speech recognition, and can accurately transcribe Korean speech into text.
Speech Recognition
Transformers Korean

W
Kkonjeong
448
1
Wav2vec2 Large Xlrs Korean V5
Apache-2.0
This model is a Korean automatic speech recognition model fine-tuned on the zeroth_korean dataset based on facebook/wav2vec2-xls-r-300m, with a word error rate of 0.2433.
Speech Recognition
Transformers

W
student-47
285
1
Stt Kr Conformer Ctc Medium
Apache-2.0
Korean automatic speech recognition model based on Conformer architecture, optimized for stream processing with excellent performance in specific domains like customer service voice
Speech Recognition Korean
S
SungBeom
176
9
Hubert Large Korean
Apache-2.0
Hubert-large-korean is a Korean automatic speech recognition model based on the Hubert architecture. It extracts features directly from speech waveforms through self-supervised learning and performs excellently in Korean speech processing.
Speech Recognition
Transformers Korean

H
team-lucid
131
11
Whisper Large V2 Ko
Apache-2.0
Korean automatic speech recognition (ASR) model fine-tuned based on OpenAI Whisper-large-v2, excelling on Korean datasets
Speech Recognition
Transformers Korean

W
byoussef
94
22
Whisper Medium Ko Zeroth
Apache-2.0
A speech recognition model fine-tuned on the Zeroth Korean dataset based on OpenAI Whisper Medium model, with a word error rate of 3.64%
Speech Recognition
Transformers Korean

W
seastar105
154
16
Whisper Small Ko Zeroth
Apache-2.0
A Korean automatic speech recognition model fine-tuned on the Zeroth Korean dataset, with a word error rate of 6.76%.
Speech Recognition
Transformers Korean

W
seastar105
285
3
Wav2vec2 Ksponspeech
Apache-2.0
Korean speech recognition model fine-tuned on the Ksponspeech dataset, optimized based on Wav2vec2-large-xlsr-53
Speech Recognition
Transformers

W
Taeham
111
4
Stt Kr Conformer Transducer Large
This is a large-scale Korean automatic speech recognition model based on the Conformer-Transducer architecture, trained on the Ksponspeech dataset, suitable for Korean speech transcription tasks.
Speech Recognition Other
S
eesungkim
129
9
Wav2vec2 Xls R 1b Korean
Apache-2.0
This model is a Korean automatic speech recognition model fine-tuned on the KRESNIK/ZEROTH_KOREAN - CLEAN dataset based on facebook/wav2vec2-xls-r-1b
Speech Recognition
Transformers Korean

W
anantoj
20
2
Wav2vec2 Xlsr Korean Senior
Apache-2.0
A Korean automatic speech recognition model based on the wav2vec2-xlsr architecture, specifically optimized for elderly Korean speech
Speech Recognition
Transformers Other

W
hyyoka
26
0
Featured Recommended AI Models