Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement
This paper investigates different trade-offs between the number of model parameters and enhanced speech qualities by employing several deep tensor-to-vector regression models for speech enhancement.We find that a hybrid architecture, namely CNN-TT, is capable of maintaining a good quality performance with a reduced model parameter size.CNN-TT is composed of several …