| 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-korean_kids_3_to_5_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% | |