328 citations · 883 across the 52 of their papers we have counts for
4 papers · 1 filter
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)…
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-…
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…
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…