lsnoo/xlsr-53-korean_kids_3_to_5_syl

A wav2vec2.0-xlsr-53 model is fine-tuned on a large speech corpus of children aged 3 to 5 years.

language:

• —ko thumbnail: "url to a thumbnail used in social sharing" tags:
• —automatic-speech-recognition
• —speech datasets:
• —AI-HUB metrics:
• —cer model-index:
• —name: xlsr-53-koreankids3to5_syl results:
• —task: type: automatic-speech-recognition dataset: type: AI-HUB name: AI-HUB split: test metrics:
• —type: cer value: 3.48 name: Syllable Error Rate ---

Dataset: children's speech aged 3 to 5 years

• —the number of files) train:valid:test=256,548:12,121:12,000
• —transcripts were tokenized into morphs by Mecab

EVALUATION results

• —Dataset: testset from the corpus
• —Performance: syllable Error Rate on the testset = 3.48%