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 2018Show all

4 papers · 1 filter

eess.AS2018★ 6 cited

Multi-scale aggregation of phase information for reducing computational cost of CNN based DOA estimation

Soumitro Chakrabarty, Emanuël A. P. Habets

In a recent work on direction-of-arrival (DOA) estimation of multiple speakers with convolutional neural networks (CNNs), the phase component of short-time Fourier transform (STFT)…

eess.AS2018★ 4 cited

On the difference-to-sum power ratio of speech and wind noise based on the Corcos model

Daniele Mirabilii, Emanuël A. P. Habets

The difference-to-sum power ratio was proposed and used to suppress wind noise under specific acoustic conditions. In this contribution, a general formulation of the difference-to-…

eess.AS2018★ 328 cited

Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals

Soumitro Chakrabarty, Emanuël A. P. Habets

Supervised learning based methods for source localization, being data driven, can be adapted to different acoustic conditions via training and have been shown to be robust to adver…

eess.AS2018★ 11 cited

Simulating Multi-channel Wind Noise Based on the Corcos Model

Daniele Mirabilii, Emanuël A. P. Habets

A novel multi-channel artificial wind noise generator based on a fluid dynamics model, namely the Corcos model, is proposed. In particular, the model is used to approximate the com…