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Testv4
基於wav2vec預訓練模型在superb數據集上微調的5分類音頻分類模型
Downloads 27
Release Time : 6/20/2024
Model Overview
該模型是wav2vec預訓練模型在superb數據集上的微調版本，主要用於音頻分類任務，在驗證集上準確率達到62.09%
Model Features
基於wav2vec預訓練
利用wav2vec強大的語音表示能力進行遷移學習
5分類音頻識別
能夠對音頻數據進行5種不同類別的分類
中等準確率
在驗證集上達到62.09%的準確率
Model Capabilities
音頻分類
語音特徵提取
Use Cases
語音分析
語音情感識別
識別語音中的情感類別
準確率62.09%
語音指令分類
對語音指令進行分類處理
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