Lip-to-speech involves generating a natural-sounding speech synchronized...
In this work, we present a two-stage method for speaker extraction under...
Classical methods for acoustic scene mapping require the estimation of t...
In this work we present a new single-microphone speech dereverberation
a...
In this paper we present a unified time-frequency method for speaker
ext...
This paper presents dEchorate: a new database of measured multichannel R...
In this study we present a mixture of deep experts (MoDE) neural-network...
A semi-supervised approach to acoustic source localization in reverberan...
In this paper, we consider the problem of acoustic source localization b...
Neural networks (NNs) have been widely applied in speech processing task...
In this paper, we present a deep neural network-based online multi-speak...
We develop a semi-supervised learning (SSL) approach for acoustic source...
We introduce a database of multi-channel recordings performed in an acou...
Speech communication systems are prone to performance degradation in
rev...
Acoustic data provide scientific and engineering insights in fields rang...
This paper addresses the problem of multichannel online dereverberation....
In this paper we propose a Deep Autoencoder MIxture Clustering (DAMIC)
a...
Speech derverberation using a single microphone is addressed in this pap...
Blind source separation (BSS) is addressed, using a novel data-driven
ap...
This paper addresses the problem of speech separation and enhancement fr...
This paper addresses the problem of audio source recovery from multichan...