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这也是一个Encoder-Decoder结构的模型。
模型主要包括编码器,语音分离,解码器三个阶段。
首先需要把语音按照每秒8000个采样点的方式进行采样,将语音分割成32000大小的输入数据。
将(batch_size, 32000)大小的语音向量输入DPRNN模型中,Encoder编码器首先进行向量扩维,将二维向量升为三维向量,然后经过一个conv1d一维卷积层之后输入到语音分离模块。
语音分离模块则由6个DPRNN block组成,每一个DPRNN block包括intra_rnn和inter_rnn。