We propose a training method for deep neural network (DNN) based source enhancement
to increase objective sound quality assessment (OSQA) scores such as the perceptual …

This study proposes a speech enhancement method based on compressive sensing. The
main procedures involved in the proposed method are performed in the frequency domain …

In this paper, we investigate the application of graph signal processing (GSP) theory in
speech enhancement. We first propose a set of shift operators to construct graph speech …

Speech enhancement has been widely investigated for several decades, but by modifying
only the amplitude spectrum of a speech signal, ignoring the phase spectrum, which has …

Listening to the audio of TV broadcast signals can be challenging for hearing-impaired as
well as normal-hearing listeners, especially when background sounds are prominent or too …

The intended speech must be dealt with in the process of speech communication while
under the impact of noise experienced in a variety of situations that degrade speech …

A novel single-channel source separation method is presented to recover the original
signals given only a single observed mixture in noisy environment. The proposed separation …

As automatic speech recognition evolves, deployment of the voice user interface (VUI) has
boomingly expanded. Especially since the COVID-19 pandemic, the VUI has gained more …

While multiframe noise reduction filters, eg, the multiframe Wiener and minimum variance
distortionless response (MVDR) ones, have demonstrated great potential to improve both …

This paper presents an alternative approach to speech enhancement by using compressed
sensing (CS). CS is a new sampling theory, which states that sparse signals can be …