AI가 움직이고 미래가 업데이트됩니다.wav2vec2-large-xlsr-marathi
Fine-tuned facebook/wav2vec2-large-xlsr-53 on Marathi using the Open SLR64 dataset. When using this model, make sure that your speech input is sampled at 16kHz. This data contains only female voices but the model works well for male voices too. Trained on Google Colab Pro on Tesla P100 16GB GPU. **WER (Word Error Rate) on the Test Set**: 12.70 % The model can be used directly without a language model as follows, given that your dataset has Marathi `actual_text` and `path_in_folder` columns: Train-Test ratio was 90:10. The training notebook Colab link here. weights-and-biases run summary here
번역 준비 중입니다. 원문을 표시합니다.
Fine-tuned facebook/wav2vec2-large-xlsr-53 on Marathi using the Open SLR64 dataset. When using this model, make sure that your speech input is sampled at 16kHz. This data contains only female voices but the model works well for male voices too. Trained on Google Colab Pro on Tesla P100 16GB GPU. **WER (Word Error Rate) on the Test Set**: 12.70 % The model can be used directly without a language model as follows, given that your dataset has Marathi `actual_text` and `path_in_folder` columns: Train-Test ratio was 90:10. The training notebook Colab link here. weights-and-biases run summary here