Language is a social factor connecting people together.  There are different speech styles among individuals, this difference is due to the situation and the context they are in. The purpose of this paper is to study speech style of Qazvin’s women in different situations. The authors have sought to find answers to the following questions:  What is the relationship between speech style and age a...

An idealized 2-channel noise reducing adaptive filter of the type developed by Widrow requires that one channel contain noise only and that the microphones be fixed in position relative to the signal and noise sources. These conditions are unlikely to be met in a wearable hearing aid. In a typical situation, the microphones will be mounted in close proximity on a moving head in a room that is m...

This paper reports on a small-scale study that explores the impact of social media adoption and use on corporate communications and brand image. The research is carried out in two phases; analysis of brand communications via social media; and a small-scale survey with social media managers. We draw upon Habermas’ theory of communicative action (the ideal speech situation and discourse ethics) i...

Research and scientific explanation about discourse democracy theory of Jurgen Habermas  and studying and evaluating reflection and generalization of his philosophical and epistemological principles are objectives which the researcher follows in this research From this view, there is studied representation of concepts and categories such as cognitive interests, communication action, discoursing...

Over the years different types of speech recognizers have been proposed and tested. During the last decade (or maybe even longer) hidden Markov models (HMMs) seem to have a better performance than other types of speech recognizers, like e.g. rule-based speech recognizers. This state of affairs has led to a gap between speech technology on the one hand, and phonetics and phonology on the other. ...

Speaker recognition in mobile devices suffers from poor performance in noisy environments, necessitating the use of noisesuppression algorithms. These typically apply time-frequency masks – optimised on the signal statistics – to the noisy signal spectrum, suppressing the noise components while preserving the speech. Studies in the field of speech recognition demonstrate that ideal time-frequen...

Ideal binary time-frequency masking is a signal separation technique that retains mixture energy in time-frequency units where local signal-to-noise ratio exceeds a certain threshold and rejects mixture energy in other time-frequency units. Two experiments were designed to assess the effects of ideal binary masking on speech intelligibility of both normal-hearing (NH) and hearing-impaired (HI) ...