… For our Domain Separation Network experiments, our similarity losses are … network after a
number of convolutional and max pooling layers. For each private space encoder network we …

… /magnitude decoupling and long time window which is … Time-domain Audio Separation
Network (TasNet) to overcome these limitations. We directly model the signal in the time-domain …

… In this paper, we investigated the performance of a recently proposed neural network for
speech separation, the time-domain audio separation network (TasNet), on the task of speech …

… For speech separation, Conv-TasNet is one of the state-ofthe-art DNNs in the approach of
imitating the conventional spectrogram-domain separation procedure [14]. However, since it …

… Figure 1 illustrates the separation procedure of the proposed BeamTasNet. The
proposed method combines a time-domain separation network (ie, TasNet) and frequency-domain …

… To improve the structure of the network and boost the separation performance, we design a
channel attentive feature descriptor, called feature calibration unit (FCU), as shown in Fig. 3(b…

… ) [13] based time-domain separation architectures from [23] for our experiments using
permutation invariant training (PIT) [17]. We modify the network parameters2 to accommodate for …

… time-domain separation system [4], the model is able to … the timedomain audio separation
network (TasNet) [1, 4, 22], an adaptive front-end method that achieves high speech separation …

… a number of nearly causal variants of the network, varying … Similar studies have been made
for timefrequency domain … of the time domain separation network under real-time constraints, …

… topological information of the network. To address the second, we adopt the idea of Domain
Separation Networks [2] and assume that explicitly separating domain-private features can …