# TASE: Task-Aware Speech Enhancement for Wake-Up Word Detection in Voice Assistants +
## 4 Results
Ethical review and approval were waived for this study since the data collection has strictly followed the GDPR rules, having all participants signed a Data Protection Information notice and Consent Form. Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. OKA Aura data are available upon request through [[https://zenodo.org/record/5734340](https://zenodo.org/record/5734340)]([https://zenodo.org/record/5734340](https://zenodo.org/record/5734340)), accessed on 21 December 2021. The authors declare no conflict of interest. The following abbreviations are used in this manuscript: \begin{tabular}{l l} ASR & Automatic Speech Recognition \\ BCE & Binary Cross-Entropy \\ CNN & Convolutional Neural Network \\ CV & Common Voice \\ FAT & Freesound Audio Tagging \\ GRU & Gated Recurrent Unit \\ LSTM & Long Short-Term Memory \\ PESQ & Perceptual Evaluation of Speech Quality \\ ReLU & Rectified Linear Unit \\ ResNet & Residual Network \\ RIR & Room Impulse Responses \\ RNN & Recurrent Neural Network \\ S2T & Speech-to-Text \\ SAD & Speech Activity Detection \\ SE & Speech Enhancement \\ SEGAN & Speech Enhancement Generative Adversarial Network \\ SNR & Signal-to-Noise Ratio \\ STOI & Short-Time Objective Intelligibility \\ TASE & Task-Aware Speech Enhancement \\ TASE-E2E & End-to-end Task-Aware Speech Enhancement \\ WWW & Wake-up Word \\ \end{tabular}   
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