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Wav2vec Trained
該模型是基於facebook/wav2vec2-base微調而成的語音識別模型，在評估集上取得了詞錯誤率0.1042的表現。
Downloads 70
Release Time : 6/25/2022
Model Overview
基於wav2vec2架構的語音識別模型，用於將語音轉換為文本。
Model Features
低詞錯誤率
在評估集上取得了0.1042的詞錯誤率表現
高效訓練
使用混合精度訓練(原生AMP)優化訓練效率
線性學習率調度
採用線性學習率調度器配合1000步預熱，優化訓練過程
Model Capabilities
語音轉文本
自動語音識別
Use Cases
語音轉錄
會議記錄自動生成
將會議錄音自動轉換為文字記錄
語音筆記轉換
將語音備忘錄轉換為可編輯文本
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