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  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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+ language:
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+ - ko
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+ metrics:
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+ - cer
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+ pipeline_tag: automatic-speech-recognition
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+ tags:
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+ - ksponspeech
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+ model-index:
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+ - name: cwwojin/stt_kr_conformer_ctc_medium
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+ results:
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+ - task:
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+ type: automatic-speech-recognition # Required. Example: automatic-speech-recognition
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+ dataset:
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+ type: Murple/ksponspeech # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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+ name: KsponSpeech (Korean) # Required. A pretty name for the dataset. Example: Common Voice (French)
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+ split: test # Optional. Example: test
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+ metrics:
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+ - type: cer # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: 0.0 # Required. Example: 20.90
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+ name: Test CER (%) # Optional. Example: Test WER
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  ---
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+
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+ # stt_kr_conformer_ctc_small_10
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+ - Fine-tuned from "stt_en_conformer_ctc_small"
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+ - Trained on KsponSpeech, provided by https://aihub.or.kr/
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+ ## Preprocessing
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+ - Files converted from .pcm -> .wav
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+ - Text - Korean phonetic transcription
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+ - SentencePiece tokenizer (Byte-pair encoding), vocab-size = 5,000
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+ ## Evaluation
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+ - "KsponSpeech_eval_clean", "KsponSpeech_eval_other