metadata
license: mit
language:
- ko
metrics:
- cer
pipeline_tag: automatic-speech-recognition
tags:
- ksponspeech
model-index:
- name: cwwojin/stt_kr_conformer_ctc_medium
results:
- task:
type: automatic-speech-recognition
dataset:
type: Murple/ksponspeech
name: KsponSpeech (Korean)
split: test
metrics:
- type: cer
value: 0
name: Test CER (%)
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