Heating ventilation and air conditioning (HVAC) systems represent one of the main noise sources inside classrooms. This explain why HVAC require careful design, competent installation balancing, regular maintenance. Many factors influence classroom acoustical such as handlers or fans, velocity classroom, well size treatment ducts, returns, diffusers. Acoustic parameters, including background-no...

A major factor to be considered in the study of teaching-learning process based on spoken communication is sound field. Excessive background noise levels or reverberation time values inside a classroom interfere with oral communication, creating an acoustic barrier to the teachinglearning process. In previous work, reverberation time was measured in a sample of university classrooms in the City...

Although the speech transmission index (STI) has been shown to predict successfully the effects of linear distortions introduced by filtering and additive noise, it does not account for non-linear distortions present in noise-suppressed speech. In this study, the normalized covariance metric (NCM), a STIbased intelligibility measure, was modified to reduce the effects of non-linear distortions ...

This paper examines the improvement that can be attained with perfect knowledge of the sound source directivity pattern and orientation in beamformer designs in the problem of speech acquisition. Data-independent beamformers are derived through formulation of a constrained optimization problem with a unity-gain constraint. Using computer simulation, these beamforming schemes are compared to the...

We present a biologically motivated method for assessing the intelligibility of speech recorded or transmitted under various types of distortions. The method employs an auditory model to analyze the effects of noise, reverberations, and other distortions on the joint spectro-temporal modulations present in speech, and on the ability of a channel to transmit these modulations. The effects are su...

Abstract The purpose of this study is to predict the objective assessment building acoustics more accurately and efficiently. In paper, neural network technology based on machine learning computer acoustic simulation are combined extract 10 typical characteristic parameters 3 target 800 halls rooms. Three matrix training sample databases established by using Odeon platform. reverberation time s...

The speech-based envelope power spectrum model (sEPSM; [1]) was proposed in order to overcome the limitations of the classical speech transmission index (STI) and speech intelligibility index (SII). The sEPSM applies the signal-tonoise ratio in the envelope domain (SNRenv), which was demonstrated to successfully predict speech intelligibility in conditions with nonlinearly processed noisy speec...

Objective speech intelligibility estimations undertaken in natural acoustics communications (NAS) scenarios require the utilization of a source that approximates acoustic characteristics human talker. Only limited number special sources conform to specifications relevant guidelines are available market; however, they can be deemed expensive by professional practitioners and other users. Non-spe...

Masking noise and reverberation strongly influence speech intelligibility decrease listening comfort. To optimize acoustics for ensuring a comfortable environment, it is crucial to understand the respective contribution of bottom-up signal-driven cues top-down linguistic-semantic recognition in reverberation. Since relevance these differs across test materials training status listeners, we inve...