A multiband spectral subtraction (MBSS) processing step transforms background noise into
annoying musical sounds. The paper proposes an iterative-processed multiband speech …

Speech enhancement in the presence of very harsh noise is of practical importance, as
conventional techniques and algorithms for speech denoising may suffer from serious …

In recent years, speech enhancement in the presence of very harsh noise has received a lot
of attention. In this paper, an adaptive noise canceller (ANC) having a single-reference and …

When the background noise is large compared to the air-conducted speech signal,
performance of most existing speech denoising techniques will significantly degrade. In …

It has been widely recognized that conventional techniques and algorithms for speech
enhancement indicate severe performance degradation when operated in a very harsh …

Speech recovery in the presence of very harsh noise is calling for R&D that take approaches
different from those established to date, as the conventional systems and algorithms for …

Speech enhancement entails a process of reducing noise and distortions by increasing the
quality and intelligibility of a speech signal. This paper presents evaluation of spectral …

An adaptively compensated multiband spectral subtraction (MBSS) is presented in this
paper. In this research, the adaptive compensation in the MBSS utilizes artificial neural …

This paper proposes a multi-band speech enhancement algorithm exploiting iterative
processing for enhancement of single channel speech. In the proposed algorithm, the output …

This paper first reviews the state-of-the-art noise reduction methods and points out their
vulnerability in noise reduction performance and speech quality, especially under the low …