初始化项目，由ModelHub XC社区提供模型

Model: alefiury/wav2vec2-large-xlsr-53-coraa-brazilian-portuguese-gain-normalization
Source: Original Platform

README.md

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+---
+language: pt
+datasets:
+- CORAA
+- common_voice 
+- mls
+- cetuc
+- voxforge
+metrics:
+- wer
+tags:
+- audio
+- speech
+- wav2vec2
+- pt
+- portuguese-speech-corpus
+- automatic-speech-recognition
+- speech
+- PyTorch
+license: apache-2.0
+model-index:
+- name: Alef Iury XLSR Wav2Vec2 Large 53 Portuguese
+  results:
+  - task: 
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    metrics:
+       - name: Test CORAA WER
+         type: wer
+         value: 24.89%
+---
+
+# Wav2vec 2.0 trained with CORAA Portuguese Dataset and Open Portuguese Datasets
+
+This a the demonstration of a fine-tuned Wav2vec model for Portuguese using the following  datasets:
+
+- [CORAA dataset](https://github.com/nilc-nlp/CORAA)
+- [CETUC](http://www02.smt.ufrj.br/~igor.quintanilha/alcaim.tar.gz).
+- [Multilingual Librispeech (MLS)](http://www.openslr.org/94/).
+- [VoxForge](http://www.voxforge.org/).
+- [Common Voice 6.1](https://commonvoice.mozilla.org/pt).
+
+## Repository
+
+The repository that implements the model to be trained and tested is avaible [here](https://github.com/alefiury/SE-R_2022_Challenge_Wav2vec2).