
# stt_kr_conformer_ctc_medium
- Fine-tuned from "stt_en_conformer_ctc_medium" https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_conformer_ctc_medium
- Trained on KsponSpeech, provided by https://aihub.or.kr/
## Preprocessing
- Files converted from .pcm -> .wav
- Text - Korean phonetic transcription
- SentencePiece tokenizer (Byte-pair encoding), vocab-size = 5,000
## Evaluation
- "KsponSpeech_eval_clean", "KsponSpeech_eval_other"
{"language": ["ko"], "license": "mit", "tags": ["ksponspeech"], "metrics": ["cer"], "pipeline_tag": "automatic-speech-recognition", "model-index": [{"name": "cwwojin/stt_kr_conformer_ctc_medium", "results": [{"task": {"type": "automatic-speech-recognition"}, "dataset": {"name": "KsponSpeech-eval (Korean)", "type": "Murple/ksponspeech", "split": "test"}, "metrics": [{"type": "cer", "value": 11.902, "name": "Test CER(%)"}]}]}]}
nemo ksponspeech automatic-speech-recognition ko license:mit model-index region:us
TAGS
#nemo #ksponspeech #automatic-speech-recognition #ko #license-mit #model-index #region-us 


# stt_kr_conformer_ctc_medium
- Fine-tuned from "stt_en_conformer_ctc_medium" URL
- Trained on KsponSpeech, provided by URL
## Preprocessing
- Files converted from .pcm -> .wav
- Text - Korean phonetic transcription
- SentencePiece tokenizer (Byte-pair encoding), vocab-size = 5,000
## Evaluation
- "KsponSpeech_eval_clean", "KsponSpeech_eval_other"
# stt_kr_conformer_ctc_medium
- Fine-tuned from "stt_en_conformer_ctc_medium" URL
- Trained on KsponSpeech, provided by URL ## Preprocessing
- Files converted from .pcm -> .wav
- Text - Korean phonetic transcription
- SentencePiece tokenizer (Byte-pair encoding), vocab-size = 5,000 ## Evaluation
- "KsponSpeech_eval_clean", "KsponSpeech_eval_other"
TAGS
#nemo #ksponspeech #automatic-speech-recognition #ko #license-mit #model-index #region-us 
 # stt_kr_conformer_ctc_medium
- Fine-tuned from "stt_en_conformer_ctc_medium" URL
- Trained on KsponSpeech, provided by URL ## Preprocessing
- Files converted from .pcm -> .wav
- Text - Korean phonetic transcription
- SentencePiece tokenizer (Byte-pair encoding), vocab-size = 5,000 ## Evaluation
- "KsponSpeech_eval_clean", "KsponSpeech_eval_other"
TAGS
#nemo #ksponspeech #automatic-speech-recognition #ko #license-mit #model-index #region-us 
# stt_kr_conformer_ctc_medium
- Fine-tuned from "stt_en_conformer_ctc_medium" URL
- Trained on KsponSpeech, provided by URL## Preprocessing
- Files converted from .pcm -> .wav
- Text - Korean phonetic transcription
- SentencePiece tokenizer (Byte-pair encoding), vocab-size = 5,000## Evaluation
- "KsponSpeech_eval_clean", "KsponSpeech_eval_other"