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非常感谢您提供模块代码,请问您可以提供一下处理KeSpeech数据集的代码和训练的代码吗?万分感谢
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训练模块和数据加载模块,采用的是wenet形式,可以把kespeech的数据处理成datalist的格式,同时加上情感的label,在process的时候读取label进行映射。由于公司的要求目前暂时只能公开模型块代码。
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明白了,感谢您的回复
您好,再打扰一下您,是不是只用处理Tasks/ASR文件夹下的文件就可以了,不用管Tasks/SubdialectID了? 然后把asks/ASR的train_phase1和train_phase2中的数据合并成train的,对于data.list,按照您说的,组织成id、path、text、label是不是就可以了? 进行AID任务的训练时,仍然用ASR的训练集,但是只训练label是方言的,是这样吗? 期待您的回复!
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非常感谢您提供模块代码,请问您可以提供一下处理KeSpeech数据集的代码和训练的代码吗?万分感谢
The text was updated successfully, but these errors were encountered: