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stt_kr_conformer_ctc_medium

Automatic Speech Recognition

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	---
	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 # Required. Example: automatic-speech-recognition
	dataset:
	type: Murple/ksponspeech # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
	name: KsponSpeech-eval (Korean) # Required. A pretty name for the dataset. Example: Common Voice (French)
	split: test # Optional. Example: test
	metrics:
	- type: cer # Required. Example: wer. Use metric id from https://hf.co/metrics
	value: 11.902 # Required. Example: 20.90
	name: Test CER(%) # Optional. Example: Test WER
	---

	# 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"