Post-processing methods can be used in mobile communications to improve the intelligibility of speech in adverse near-end noise conditions. This study proposes a phase spectrum modification method for intelligibility enhancement in mobile devices. The method first modifies the phase spectrum of speech in order to reduce the amplitude range of the signal. The amplitude level is then equalized to...

The authors argue against a purely behavioral definition of praise as verbal reinforcement in favor of the view that praise may serve to undermine, enhance, or have no effect on children's intrinsic motivation, depending on a set of conceptual variables. Provided that praise is perceived as sincere, it is particularly beneficial to motivation when it encourages performance attributions to contr...

Cross-lingual voice conversion (XVC) transforms the speaker identity of a source to that target who speaks different language. Due intrinsic differences between languages, converted speech may carry an unwanted foreign accent. In this paper, we first investigate intelligibility and confirm performance degradation caused by accent/intelligibility issue. With goal generating native-sounding speec...

Automatic prediction of speech intelligibility is highly desirable in the speech research community, since listening tests are timeconsuming and can not be used online. Most of the available objective speech intelligibility measures are intrusive methods, as they require a clean reference signal in addition to the corresponding noisy/processed signal at hand. In order to overcome the problem of...

he intelligibility of speech in communication systems is generally reduced by interfering noise. This interference, which can take the form of environmental noise, reverberation, competing speech, or electronic channel noise, reduces intelligibility by masking the signal of interest. The reduction in intelligibility is particularly troublesome for listeners with hearing impairments, who have gr...

BACKGROUND intelligibility measures are limited to providing information on the severity level of clinical cases. A key limitation is that such measures are sensitive to changes in performance only in subjects with a determined severity level of speech disturbance. AIM to investigate the influence of stimuli type and transcription analysis on intelligibility measures of speakers with no commu...

A number of techniques based on correlation measurements have recently been proposed to provide an objective measure of intelligibility. These techniques are able to detect nonlinear distortions and provide intelligibility scores highly correlated with those given by human listeners. However, the performance of these techniques has not been found satisfactory for measuring the speech intelligib...

In this paper, we evaluate the performance of several state-of-the-art objective measures in terms of predicting speech intelligibility in Mandarin of the processed noisy signals by speech enhancement algorithms. The speech signals were first corrupted by three types of noises at two signal-to-noise ratios, followed by four classes of speech enhancement algorithms. The objective intelligibility...

In this research various objective quality measures are evaluated in order to predict the intelligibility for a wide range of non-linearly processed speech signals and speech degraded by additive noise. The obtained results are compared with the prediction results of a more advanced perceptual-based model proposed by Dau et al. and an objective intelligibility measure, namely the coherence spee...

There are several tests of speech intelligibility currently available which employ a variety of methods. The most appropriate method for testing intelligibility of speech transmitted via telephony is a forced choice task in which listeners hear speech samples and identify what they hear from among a set of alternatives displayed onscreen. This methodology allows tests to be run quickly and scor...