Source Separation of Convolutive and Noisy Mixtures Using Audio-Visual Dictionary Learning and Probabilistic Time-Frequency Masking

In existing audio-visual blind source separation (AV-BSS) algorithms, the AV coherence is usually established through statistical modelling, using e.g., Gaussian mixture models (GMMs). These methods often operate in a low-dimensional feature space, rendering an effective global representation of the...

Ausführliche Beschreibung