Speech Enhancement for Wake-Up-Word detection in Voice Assistants
With the aim of assessing the quality of the trained SE models, we use several trigger word detection classifier models, reporting the impact of the SE module at WUW classification performance. The WUW classifiers used here are a LeNet, a well-known standard classifier, easy to optimize [13]; Res15, Res15-narrow and Res8 based on a reimplementation by Tang and Lin [26] of Sainath and Parada’s Convolutional Neural Networks (CNNs) for