In this paper, we propose novel strategies for neutral vector variable decorrelation. Two
fundamental invertible transformations, namely, serial nonlinear transformation and parallel …

This paper presents a speech enhancement technique for signals corrupted by
nonstationary acoustic noises. The proposed approach applies the empirical mode …

For most of the non-Gaussian statistical models, the data being modeled represent strongly
structured properties, such as scalar data with bounded support (eg, beta distribution) …

Speech signals reaching our ears are in general contaminated by the background noise
distortion which is detrimental to both speech quality and intelligibility. In this paper, we …

Acoustic energy based localization with wireless sensor networks is an interesting solution
to locate sources and targets. For simplicity, localization formulation based on the maximum …

This paper investigates the fusion of Mel-frequency cepstral coefficients (MFCC) and
statistical pH features to improve the performance of speaker verification (SV) in non …

The bias-compensated pseudolinear Kalman filter (BC-PLKF) has the advantages of closed
form and low computational complexity for bearing-only target tracking. However, it is …

This letter introduces a Frame Relevance Score (FRS) to improve the classification of
environmental acoustic sources from noisy speech signals. The importance of each short …

In this paper, an adaptive learning solution based on surrogate models is investigated under
reverberant scenarios. A new surrogate selection criteria is proposed, leading to a higher …

Classification of line‐of‐sight (LOS) or non‐LOS (NLOS) propagation is critical for most
pulsed ultrawideband localisation systems. In this letter, first, the authors propose a two …