metadata
language: ja
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: wav2vec2-live-japanese
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice Japanese
type: common_voice
args: ja
metrics:
- name: Test WER
type: wer
value: 22.08%
- name: Test CER
type: cer
value: 10.08%
wav2vec2-live-japanese
https://github.com/ttop32/wav2vec2-live-japanese-translator
Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese hiragana using the
- common_voice
- JSUT
- CSS10
- TEDxJP-10K
- JVS
Inference
Evaluation