Deep Speaker: an End-to-End Neural Speaker Embedding System
Table 1: Architecture of ResCNN. “Average” denotes the temporal pooling layer and “ln” denotes the length normalization layer. A bracket describes the structure of a ResBlock as shown in Fig. 2
['layer name', 'structure', 'stride', 'dim', '# params']
Each block has an identical structure, and the skip connection is the identity mapping of x. Three ResBlocks are stacked in our architecture. When the number of channels increases, we use a single convolutional layer with filter size of 5×5 and a stride of 2×2. Thus, the the frequency dimension is kept constant in all convolution layers. ’s findings.