Reducing the interference noise in a monaural noisy speech signal has been a challenging
task for many years. Compared to traditional unsupervised speech enhancement methods …

In this paper, the problem of noise reduction is addressed as a linear filtering problem in a
novel way by using concepts from subspace-based enhancement methods, resulting in …

The most well-known conventional speech enhancement algorithms introduce unwanted
artifact noise and speech distortion to the enhanced signal. Reducing the effects of such …

The conventional NMF-based speech enhancement algorithm analyzes the magnitude
spectrograms of both clean speech and noise in the training data via NMF and estimates a …

Speech enhancement is vital for improved listening practices. Ad hoc microphone arrays are
promising assets for this purpose. Most well-established enhancement techniques with …

Exemplar-based speech enhancement systems work by decomposing the noisy speech as
a weighted sum of speech and noise exemplars stored in a dictionary and use the resulting …

In speech processing, the speech is often considered stationary within segments of 20-30
ms even though it is well known not to be true. In this paper, we take the nonstationarity of …

This paper deals with the influence of pre-whitening for the task of fundamental frequency
estimation in noisy conditions. Parametric fundamental frequency estimators commonly …

In this paper, single channel speech enhancement in the time domain is considered. We
address the problem of modelling non-stationary speech by describing the voiced speech …

Speech enhancement with distributed arrays has been met with various methods. On the
one hand, data independent methods require information about the position of sensors, so …