japanese-wav2vec2-base-rs35kh

This model is a wav2vec 2.0 Base fine-tuned on the large-scale Japanese ASR corpus ReazonSpeech v2.0. We report the Character Error Rate (CER) of our model and the other wav2vec2 families. | Model | #Prameters⬇ | AVERAGE⬇ | JSUT-BASIC5000⬇ | Common Voice⬇ | TEDxJP-10K⬇ | | :--------------------------------------------- | :---------: | :--------: | :-------------: | :-----------: | :---------: | | reazon-research/japanese-wav2vec2-base-rs35kh | 96.7M | **20.40%** | 13.22% | 23.76% | **24.23%** | | Ivydata/wav2vec2-large-xlsr-53-japanese | 318M | 24.23% | 13.83% | **18.15%** | 40.72% | | jonatasgrosman/wav2vec2-large-xlsr-53-japanese | 317M | 31.82% | 4.25% | 40.58% | 50.63% | | vumichien/wav2vec2-large-xlsr-japanese | 318M | 39.87% | **4.21%** | 53.29% | 62.12% | We also report the CER for long-form speech. | Model | #Prameters⬇ | JSUT-BOOK⬇ | | :--------------------------------------------- | :---------: | :--------: | | reazon-research/japanese-wav2vec2-base-rs35kh | 96.7M | 82.84% | | Ivydata/wav2vec2-large-xlsr-53-japanese | 318M | 65.60% | | jonatasgrosman/wav2vec2-large-xlsr-53-japanese | 317M | **46.20%** | | vumichien/wav2vec2-large-xlsr-japanese | 318M | 46.52% |

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