Fine tuned XLSR 53 large model for speech recognition in Chinese Fine tuned facebook/wav2vec2 large xlsr 53 on Chinese using the train and validation splits of Common Voice 6.1, CSS10 and ST CMDS. When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine tuned thanks to the GPU credits generously given by the OVHcloud :) The script used for training can be found here: https://github.com/jonatasgrosman/wav2vec2 sprint Usage The model can be used directly (without a language model) as follows... Using the HuggingSound library: Writing your own inference script: Reference Prediction 宋朝末年年间定居粉岭围。 宋朝末年年间定居分定为 渐渐行动不便 建境行动不片 二十一年去世。 二十一年去世 他们自称恰哈拉。 他们自称家哈 局部干涩的例子包括有口干、眼睛干燥、及阴道干燥。 菊物干寺的例子包括有口肝眼睛干照以及阴到干 嘉靖三十八年，登进士第三甲第二名。 嘉靖三十八年登进士第三甲第二名 这一名称一直沿用至今。 这一名称一直沿用是心 同时乔凡尼还得到包税合同和许多明矾矿的经营权。 同时桥凡妮还得到包税合同和许多民繁矿的经营权 为了惩罚西扎城和塞尔柱的结盟，盟军在抵达后将外城烧毁。 为了曾罚西扎城和塞尔素的节盟盟军在抵达后将外曾烧毁 河内盛产黄色无鱼鳞的鳍射鱼。 合类生场环色无鱼林的骑射鱼 Evaluation The model can be evaluated as follows on the Chinese (zh CN) test data of Common Voice. Test Result : In the table below I report the Word Error Rate (WER) and the Character Error Rate (CER) of the model. I ran the evaluation script described above on ot…
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