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Supervised speech separation based on deep learning: An overview
Speech separation is the task of separating target speech from background interference.
Traditionally, speech separation is studied as a signal processing problem. A more recent …
Traditionally, speech separation is studied as a signal processing problem. A more recent …
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 …
DDSP: Differentiable digital signal processing
Most generative models of audio directly generate samples in one of two domains: time or
frequency. While sufficient to express any signal, these representations are inefficient, as …
frequency. While sufficient to express any signal, these representations are inefficient, as …
[HTML][HTML] Machine learning in acoustics: Theory and applications
Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …
communications to ocean and Earth science. We survey the recent advances and …
StoRM: A diffusion-based stochastic regeneration model for speech enhancement and dereverberation
Diffusion models have shown a great ability at bridging the performance gap between
predictive and generative approaches for speech enhancement. We have shown that they …
predictive and generative approaches for speech enhancement. We have shown that they …
[كتاب][B] Audio source separation and speech enhancement
E Vincent, T Virtanen, S Gannot - 2018 - books.google.com
Learn the technology behind hearing aids, Siri, and Echo Audio source separation and
speech enhancement aim to extract one or more source signals of interest from an audio …
speech enhancement aim to extract one or more source signals of interest from an audio …
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 …
HiFi-GAN: High-fidelity denoising and dereverberation based on speech deep features in adversarial networks
Real-world audio recordings are often degraded by factors such as noise, reverberation,
and equalization distortion. This paper introduces HiFi-GAN, a deep learning method to …
and equalization distortion. This paper introduces HiFi-GAN, a deep learning method to …
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
In recent years, substantial progress has been made in the field of reverberant speech
signal processing, including both single-and multichannel dereverberation techniques and …
signal processing, including both single-and multichannel dereverberation techniques and …
An overview of noise-robust automatic speech recognition
New waves of consumer-centric applications, such as voice search and voice interaction
with mobile devices and home entertainment systems, increasingly require automatic …
with mobile devices and home entertainment systems, increasingly require automatic …