background and aim: it will be discussed about five mechanisms in relation to speech in noise perception; including neural encoding and decoding, centrifugal pathways, pitch perception, asymmetric sampling in time and cognitive skills. these mechanisms are related to each other and each is important to recognize speech in noise. in this article, we have tried to rely on the latest studies to de...

background and aim: speech understanding almost never occurs in silence. verbal communication often occurs in environments where multiple speakers are talking. in such environments, babbling noise masks speech comprehension. consonants, in comparison to vowels, are more sensitive to noise masking. consonants provide most acoustic information needed for comprehending the meaning of the word. sin...

background and aim: different tests have been developed to evaluate reduced ability of speech perception in noise, and the words-in-noise test is one of the easiest ones in terms of speech materials. this study aimed to develop and determine the validity and reliability of the persian version of the words-in-noise (win) test for 7 to 12-year-old children. methods: this research is a tool-making...

background: one of the most common complaints expressed by individuals with hearing-impairment is the difficulty in speech perception in background noise. different tests have been developed for the evaluation of reduced ability of speech perception in noise, and the consonant-vowel in noise test is one of the simplest one regard to speech materials. the goal of the present study was developmen...

background: previous studies have shown that interaural-time-difference (itd) training can improve localization ability. surprisingly little is, however, known about localization training vis-à-vis speech perception in noise based on interaural time difference in the envelope (itd env). we sought to investigate the reliability of an itd env-based training program in speech-in-noise perception a...

A reliable speech enhancement method is important for speech applications as a pre-processing step to improve their overall performance. In this paper, we propose a novel frequency domain method for single channel speech enhancement. Conventional frequency domain methods usually neglect the correlation between neighboring time-frequency components of the signals. In the proposed method, we take...