Dear subscribers of the colloquium newsletter,
we are happy to inform you about the next date of our Communication Technology Colloquium.
*Wednesday, January 20, 2021* *Speaker:* Jonas Kuntzer *Time*: 11:00 a.m. *Location:* https://rwth.zoom.us/j/97904157921?pwd=SWpsbDl0MWhrWjY1ZkZaeFRoYmErZz09
Meeting-ID: 979 0415 7921 Passwort: 481650
*Master Lecture:* Speech Inpainting Using Recurrent Neural Networks
Speech signals are often subject to transient noise signals that can appear anywhere in the frequency spectrum. When the noise over laps with frequencies of human speech, the removal of the noise inevitably leads to a deterioration in the quality of speech and a loss of information. Because speech is highly predictable in time, a speech inpainting neural network is presented which includes recurrent neural networks in the form of LSTMs whose strength lies in the prediction of sequential data. Furthermore, the SHAP algorithm is employed to gain an understanding of the impact of individual input features on the output and the network's dependence on individual time steps in the input sequences.
The results demonstrate that LSTMs are well-suited to solve the problem of speech inpainting, outperforming other networks based on fully-connceted layers only. An increase in the PESQ and LSD score is observed compared to the corrupted signal. The increase is further enhanced when the sequences include not only past but also future data samples. Interpretation of the trained networks concludes that the prediction of output features is primarily based on their counterpart in the input features with the largest emphasis in the sequences being put on the current time step.
All interested parties are cordially invited, registration is not required.
General information on the colloquium, as well as a current list of the dates of the Communication Technology Colloquium can be found at: http://www.iks.rwth-aachen.de/aktuelles/kolloquium