This paper shows how the noise robustness of a MFCC feature extraction front-end can be improved by integrating four noise robustness algorithms being a Spectral Attenuation -, a Noise Level Normalistion -, a Cepstral Mean Normalization and a Frame Dropping algorithm. The algorithms were tested separately and in varying combinations on three real world car data sets with different amounts of mi...

in this paper, for the purpose of investigating horizontal sound propagation, based on the results obtained from practical measurements in the strait of hormoz and available data on sound speed variations at different depths, a comprehensive model for shallow water multipath underwater acoustic channel is presented. mathematical modeling of multipath effect is based on ray theory and the image ...

In this paper, a noise adaptive speech recognition approach is proposed for recognizing speech which is corrupted by additive non-stationary background noise. The approach sequentially estimates noise parameters, through which a nonlinear parametric function adapts mean vectors of acoustic models. In the estimation process, posterior probability of state sequence given observation sequence and ...

Modern transformer-based neural architectures yield impressive results in nearly every NLP task and Word Sense Disambiguation, the problem of discerning correct sense a word given context, is no exception. State-of-the-art approaches WSD today leverage lexical information along with pre-trained embeddings from these models to achieve comparable human inter-annotator agreement on standard evalua...

Several approaches have been introduced in literature for active noise control (ANC)systems. Since Filtered-x-Least Mean Square (FxLMS) algorithm appears to be the best choice as acontroller filter. Researchers tend to improve performance of ANC systems by enhancing andmodifying this algorithm. This paper proposes a new version of FxLMS algorithm. In many ANCapplications an online secondary pat...

Listening and understanding speech in noisy environments is a situation that many people encounter in their daily lives. This problem is exacerbated by old age or the presence of a hearing loss. The purpose of the present study was to investigate two components that contribute to successful word recognition in noise. The first component is the advantage of binaural over monaural listening and t...

From bustling classrooms to unruly lunchrooms, school settings are noisy. To learn effectively in the unwelcome company of numerous distractions, children must clearly perceive speech in noise. In older children and adults, speech-in-noise perception is supported by sensory and cognitive processes, but the correlates underlying this critical listening skill in young children (3-5 year olds) rem...