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Neunit Ks Kangyuan0601
該模型是基於facebook/wav2vec2-base在superb數據集上微調的音頻分類模型，在評估集上取得了99.87%的準確率。
Downloads 16
Release Time : 6/1/2023
Model Overview
一個用於音頻分類任務的微調模型，基於wav2vec2架構，適用於語音相關分類任務。
Model Features
高準確率
在評估集上取得了99.87%的高準確率
基於wav2vec2架構
採用facebook的wav2vec2-base作為基礎模型
高效訓練
使用混合精度訓練和梯度累積等技術優化訓練過程
Model Capabilities
音頻分類
語音特徵提取
Use Cases
語音處理
語音命令分類
可用於識別和分類語音命令
高準確率識別
語音情感分析
可用於分析語音中的情感特徵
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