Sixty years of frequency-domain monaural speech enhancement: From traditional to deep learning methods
Frequency-domain monaural speech enhancement has been extensively studied for over
60 years, and a great number of methods have been proposed and applied to many …
60 years, and a great number of methods have been proposed and applied to many …
A consolidated perspective on multimicrophone speech enhancement and source separation
Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …
commercial applications in devices as diverse as mobile phones, conference call systems …
Two heads are better than one: A two-stage complex spectral map** approach for monaural speech enhancement
For challenging acoustic scenarios as low signal-to-noise ratios, current speech
enhancement systems usually suffer from performance bottleneck in extracting the target …
enhancement systems usually suffer from performance bottleneck in extracting the target …
Glance and gaze: A collaborative learning framework for single-channel speech enhancement
The capability of the human to pay attention to both coarse and fine-grained regions has
been applied to computer vision tasks. Motivated by that, we propose a collaborative …
been applied to computer vision tasks. Motivated by that, we propose a collaborative …
Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation
We consider inference in a general data-driven object-based model of multichannel audio
data, assumed generated as a possibly underdetermined convolutive mixture of source …
data, assumed generated as a possibly underdetermined convolutive mixture of source …
The 2018 signal separation evaluation campaign
This paper reports the organization and results for the 2018 community-based Signal
Separation Evaluation Campaign (SiSEC 2018). This year's edition was focused on audio …
Separation Evaluation Campaign (SiSEC 2018). This year's edition was focused on audio …
Under-determined reverberant audio source separation using a full-rank spatial covariance model
This paper addresses the modeling of reverberant recording environments in the context of
under-determined convolutive blind source separation. We model the contribution of each …
under-determined convolutive blind source separation. We model the contribution of each …
Music demixing challenge 2021
Music source separation has been intensively studied in the last decade and tremendous
progress with the advent of deep learning could be observed. Evaluation campaigns such …
progress with the advent of deep learning could be observed. Evaluation campaigns such …
Multichannel extensions of non-negative matrix factorization with complex-valued data
This paper presents new formulations and algorithms for multichannel extensions of non-
negative matrix factorization (NMF). The formulations employ Hermitian positive semidefinite …
negative matrix factorization (NMF). The formulations employ Hermitian positive semidefinite …
Subjective and objective quality assessment of audio source separation
We aim to assess the perceived quality of estimated source signals in the context of audio
source separation. These signals may involve one or more kinds of distortions, including …
source separation. These signals may involve one or more kinds of distortions, including …