1 code implementation • 17 Apr 2019 • Zhenyu Tang, John D. Kanu, Kevin Hogan, Dinesh Manocha
We present a novel learning-based approach to estimate the direction-of-arrival (DOA) of a sound source using a convolutional recurrent neural network (CRNN) trained via regression on synthetic data and Cartesian labels.
Ranked #1 on Direction of Arrival Estimation on SOFA (using extra training data)