The speech transmission index (STI) is a well known measure of intelligibility, most suited to the evaluation of speech intelligibility in rooms, with stimuli subjected to additive noise and reverberance. However, STI and its many variations do not effectively represent the intelligibility of stimuli containing non-linear distortions such as those resulting from processing by enhancement algori...

The effect of additive white Gaussian noise and high-pass filtering on speech intelligibility at signal-to-noise ratios (SNRs) from −26 to 0 dB was evaluated using British English talkers normal hearing listeners. SNRs below −10 were considered as they are relevant security applications. Eight objective metrics assessed: short-time (STOI), a proposed variant termed STOI+, extended (ESTOI), norm...

Due to the limited number of cochlear implantees speaking Mandarin Chinese, it is extremely difficult to evaluate new speech coding algorithms designed for tonal languages. Access to an intelligibility index that could reliably predict the intelligibility of vocoded (and non-vocoded) Mandarin Chinese is a viable solution to address this challenge. The speech-transmission index (STI) and coheren...

*) In this paper, a real time nested microphone array based in the auditory properties of the human ear is presented. Three different stages in the development of the system are described. Firstly, the design of the new auditory-based microphone array is presented, obtaining better noise reduction using the masking properties of the human auditory system. Secondly, we show its validation throug...

A major issue in evaluating speech enhancement and hearing compensation algorithms is to come up with a suitable metric that predicts intelligibility as judged by a human listener. Previous methods such as the widely used Speech Transmission Index (STI) fail to account for masking effects that arise from the highly nonlinear cochlear transfer function. We therefore propose a Neural Articulation...

Although cochlear implant (CI) users have enjoyed good speech recognition in quiet, they still have difficulties understanding speech in noise. We conducted three experiments to determine whether a directional microphone and an adaptive multichannel noise reduction algorithm could enhance CI performance in noise and whether Speech Transmission Index (STI) can be used to predict CI performance i...

In the modulation-filtering based speech enhancement method, noise suppression is achieved by bandpass filtering the temporal trajectories of the power spectrum. In the literature, some authors use the power spectrum directly for modulation filtering, while others use different compression functions for reducing the dynamic range of the power spectrum prior to its modulation filtering. This pap...

BACKGROUND Voice organ disorders among teachers are caused by excessive voice strain. One of the measures to reduce this strain is to decrease background noise when teaching. Increasing the acoustic absorption of the room is a technical measure for achieving this aim. The absorption level also improves speech intelligibility rated by the following parameters: room reverberation time and speech ...

The speech transmission index (STI) and room acoustic parameters (RAPs) are essential metrics for assessing quality predicting listening difficulty in a sound field. Although STI important RAPs, such as reverberation time clarity, can be derived from the impulse response (RIR), measuring RIR regularly occupied spaces is difficult. Hence, simultaneous blind estimation of RAPs an imperative chall...

The aim of this study was to examine the effects of speech varying in intelligibility on cognitive performance and subjective perceptions of sound environment disturbance. 37 subjects performed a series of tasks in three conditions in which speech transmission indexes were 0.10, 0.35 and 0.65. These correspond to cellular office, well-designed open office and unsatisfactory open office, respect...