output
20162026
most citedMulti-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals

328 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020Show all

2 papers · 1 filter

eess.AS2020★ 3 cited

Efficient Training Data Generation for Phase-Based DOA Estimation

Fabian Hübner, Wolfgang Mack, Emanuël A. P. Habets

Deep learning (DL) based direction of arrival (DOA) estimation is an active research topic and currently represents the state-of-the-art. Usually, DL-based DOA estimators are train…

eess.AS2020

An Empirical Study of Visual Features for DNN based Audio-Visual Speech Enhancement in Multi-talker Environments

Shrishti Saha Shetu, Soumitro Chakrabarty, Emanuël A. P. Habets

Audio-visual speech enhancement (AVSE) methods use both audio and visual features for the task of speech enhancement and the use of visual features has been shown to be particularl…