Dual-Path RNN Model for Target Speech Extraction

Student: Arseniy Abramov

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2024

This paper investigates neural network approaches for target speaker extraction problem. In particular, the use of the DPRNN model architecture originally proposed for the adjacent source separation problem.

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