1,639 research outputs found

    External and internal noise surveys of London primary schools

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    Internal and external noise surveys have been carried out around schools in London, UK, to provide information on typical levels and sources to which children are exposed while at school. Noise levels were measured outside 142 schools, in areas away from flightpaths into major airports. 86% of the schools surveyed were exposed to noise from road traffic, the average external noise level outside a school being 57 dB LAeq. Detailed internal noise surveys have been carried out in 140 classrooms in 16 schools, together with classroom observations. It was found that noise levels inside classrooms depend upon the activities in which the children are engaged, with a difference of 20 dB LAeq between the 'quietest' and 'noisiest' activities. The average background noise level in classrooms exceeds the level recommended in current standards. The number of children in the classroom was found to affect noise levels. External noise influenced internal noise levels only when children were engaged in the quietest classroom activities. The effects of the age of the school buildings and types of window upon internal noise were examined but results were inconclusive

    Students’ perceptions of school acoustics and the impact of noise on teaching and learning in secondary schools : findings of a questionnaire survey

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    This paper will present the design and findings of an online questionnaire survey of 11–16 year olds’ impressions of their school's acoustic environment, and of an experimental study into the effects of typical levels of classroom noise on adolescent's performance on numeracy and cognitive functioning tasks. Analysis of the responses to the questionnaire found that pupils who reported additional learning needs such as hearing impairment, speaking English as an additional language or receiving learning support reported being significantly more affected by poor school acoustics than pupils reporting no additional learning needs. Pupils attending suburban schools featuring cellular classrooms that were not exposed to a nearby noise sources were more positive about their school acoustics than pupils at schools with open plan classroom designs or attending schools that were exposed to external noise sources. The study demonstrates that adolescents are reliable judges of their school's acoustic environment, and have insight into the disruption to teaching and learning caused by poor listening conditions. Furthermore, pupils with additional learning needs are more at risk from the negative effects of poor school acoustics

    Measuring, representing and analysing indoor soundscapes: A data collection campaign in residential buildings with natural and mechanical ventilation in England

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    A model for the assessment of perceived affective quality of indoor residential soundscapes is first applied in a field survey carried out in 61 dwellings in England. Objectives are i) to investigate measurement and indoor soundscape data representation, ii) to characterize soundscape appropriateness for home working and relaxation, iii) to test differences based on the ventilation strategy, and iv) to identify factors predicting indoor soundscapes. In dwellings with natural ventilation (N = 34) the survey was carried out with windows open, while in those with mechanical ventilation (N = 27) with windows closed and the system in operation. Parallel to the administration of the questionnaire, monaural and binaural measurements of the acoustic environments were performed. The study provides examples of data representation in the circumplex space defined by comfort and content dimensions. Soundscapes which are appropriate for work and relaxation are characterized by high comfort and low content, i.e., perceived as private and under control. Indoor soundscapes are strongly related to the perception of traffic noise, window opening, and sound pressure level, especially in the energy content of interference in speech perception through the Speech Interference Level parameter (SIL), factors that lead to reduced comfort and increased saturation of the environment. Moreover, aspects related to psychoacoustics (sharpness), contextual and building-related factors (ownership status and floor level) and cross-modal effects from other sensory modalities (perceived air quality and air temperature) have an impact. A threshold value of 32.7 dB for SIL was identified at which a neutral comfort is attained

    Affective learning: improving engagement and enhancing learning with affect-aware feedback

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    This paper describes the design and ecologically valid evaluation of a learner model that lies at the heart of an intelligent learning environment called iTalk2Learn. A core objective of the learner model is to adapt formative feedback based on students’ affective states. Types of adaptation include what type of formative feedback should be provided and how it should be presented. Two Bayesian networks trained with data gathered in a series of Wizard-of-Oz studies are used for the adaptation process. This paper reports results from a quasi-experimental evaluation, in authentic classroom settings, which compared a version of iTalk2Learn that adapted feedback based on students’ affective states as they were talking aloud with the system (the affect condition) with one that provided feedback based only on the students’ performance (the non-affect condition). Our results suggest that affect-aware support contributes to reducing boredom and off-task behavior, and may have an effect on learning. We discuss the internal and ecological validity of the study, in light of pedagogical considerations that informed the design of the two conditions. Overall, the results of the study have implications both for the design of educational technology and for classroom approaches to teaching, because they highlight the important role that affect-aware modelling plays in the adaptive delivery of formative feedback to support learning

    The acoustical design of the new lecture auditorium, Faculty of Law, Ain Shams University

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    AbstractThis work represents the main acoustical design phases for the new lecture auditorium in the Faculty of Law, Ain Shams University, Cairo/Egypt. The work also discusses some of the architectural details that were used and have a direct effect on the acoustical environment inside the auditorium. The work compares finally among field measurements (that were recorded after the construction in the unoccupied auditorium), the values expected during the acoustic design phase (utilizing ODEON ver. 4.2, assuming the occupied case), and the optimum values for speech intelligibility indicators that were considered in this work (T20, D50, STI, LAeq, and the background noise). Field measurements that were recorded utilizing MLSSA system showed that the finishing materials used successfully fulfilled a good level of speech intelligibility in the auditorium. The estimated reverberation timeT20-EOC for the occupied room (based on the measured unoccupiedT20-M) was close to the optimum especially in mid and high frequency bands. The measured D50 (unoccupied) was found to be within its acceptable range. The measured STI value (unoccupied) was “Fair, 0.49”. The measurements of LAeq indicated the uniformity of the acoustical field in the room. The noticed problem was a relatively high background noise (NC-40) due to the utilization of natural ventilation which directly contradicts the principles of room isolation

    Single- and multi-microphone speech dereverberation using spectral enhancement

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    In speech communication systems, such as voice-controlled systems, hands-free mobile telephones, and hearing aids, the received microphone signals are degraded by room reverberation, background noise, and other interferences. This signal degradation may lead to total unintelligibility of the speech and decreases the performance of automatic speech recognition systems. In the context of this work reverberation is the process of multi-path propagation of an acoustic sound from its source to one or more microphones. The received microphone signal generally consists of a direct sound, reflections that arrive shortly after the direct sound (commonly called early reverberation), and reflections that arrive after the early reverberation (commonly called late reverberation). Reverberant speech can be described as sounding distant with noticeable echo and colouration. These detrimental perceptual effects are primarily caused by late reverberation, and generally increase with increasing distance between the source and microphone. Conversely, early reverberations tend to improve the intelligibility of speech. In combination with the direct sound it is sometimes referred to as the early speech component. Reduction of the detrimental effects of reflections is evidently of considerable practical importance, and is the focus of this dissertation. More specifically the dissertation deals with dereverberation techniques, i.e., signal processing techniques to reduce the detrimental effects of reflections. In the dissertation, novel single- and multimicrophone speech dereverberation algorithms are developed that aim at the suppression of late reverberation, i.e., at estimation of the early speech component. This is done via so-called spectral enhancement techniques that require a specific measure of the late reverberant signal. This measure, called spectral variance, can be estimated directly from the received (possibly noisy) reverberant signal(s) using a statistical reverberation model and a limited amount of a priori knowledge about the acoustic channel(s) between the source and the microphone(s). In our work an existing single-channel statistical reverberation model serves as a starting point. The model is characterized by one parameter that depends on the acoustic characteristics of the environment. We show that the spectral variance estimator that is based on this model, can only be used when the source-microphone distance is larger than the so-called critical distance. This is, crudely speaking, the distance where the direct sound power is equal to the total reflective power. A generalization of the statistical reverberation model in which the direct sound is incorporated is developed. This model requires one additional parameter that is related to the ratio between the direct sound energy and the sound energy of all reflections. The generalized model is used to derive a novel spectral variance estimator. When the novel estimator is used for dereverberation rather than the existing estimator, and the source-microphone distance is smaller than the critical distance, the dereverberation performance is significantly increased. Single-microphone systems only exploit the temporal and spectral diversity of the received signal. Reverberation, of course, also induces spatial diversity. To additionally exploit this diversity, multiple microphones must be used, and their outputs must be combined by a suitable spatial processor such as the so-called delay and sum beamformer. It is not a priori evident whether spectral enhancement is best done before or after the spatial processor. For this reason we investigate both possibilities, as well as a merge of the spatial processor and the spectral enhancement technique. An advantage of the latter option is that the spectral variance estimator can be further improved. Our experiments show that the use of multiple microphones affords a significant improvement of the perceptual speech quality. The applicability of the theory developed in this dissertation is demonstrated using a hands-free communication system. Since hands-free systems are often used in a noisy and reverberant environment, the received microphone signal does not only contain the desired signal but also interferences such as room reverberation that is caused by the desired source, background noise, and a far-end echo signal that results from a sound that is produced by the loudspeaker. Usually an acoustic echo canceller is used to cancel the far-end echo. Additionally a post-processor is used to suppress background noise and residual echo, i.e., echo which could not be cancelled by the echo canceller. In this work a novel structure and post-processor for an acoustic echo canceller are developed. The post-processor suppresses late reverberation caused by the desired source, residual echo, and background noise. The late reverberation and late residual echo are estimated using the generalized statistical reverberation model. Experimental results convincingly demonstrate the benefits of the proposed system for suppressing late reverberation, residual echo and background noise. The proposed structure and post-processor have a low computational complexity, a highly modular structure, can be seamlessly integrated into existing hands-free communication systems, and affords a significant increase of the listening comfort and speech intelligibility

    Implementing standards and guidelines for C-Print in the secondary education of deaf students

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    This curriculum project was created in hopes of developing a set of guidelines that will strengthen the use of C-print and speech to text services at the K-12 level. The (1998) National Task force on Educational Interpreting released a report that outlined the job description, roles and responsibilities of all Educational Interpreters. In contract, C-print and speech to text services do not yet have a clear consensus or mandate on the roles and responsibilities involved in this service. This project attempts to address the strengths and weaknesses of implementing C-print in public schools. It also creates materials to better prepare teachers, students, and support personnel to use these services effectively in the K-12 demographic. The materials implemented in this project were created with the support and feedback of high school and college instructors, college, high school, and one middle school student, and with the ideas and support of C-Print service providers. These materials will help the provider and the Educational team supporting the C-print service have a more clear picture of what their respective roles and responsibilities are to implement this service successfully for all deaf and hard of hearing students

    Speech intelligibility in multilingual spaces

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    This thesis examines speech intelligibility and multi-lingual communication, in terms of acoustics and perceptual factors. More specifically, the work focused on the impact of room acoustic conditions on the speech intelligibility of four languages representative of a wide range of linguistic properties (English, Polish, Arabic and Mandarin). Firstly, diagnostic rhyme tests (DRT), phonemically balanced (PB) word lists and phonemically balanced sentence lists have been compared under four room acoustic conditions defined by their speech transmission index (STI = 0.2, 0.4, 0.6 and 0.8). The results obtained indicated that there was a statistically significant difference between the word intelligibility scores of languages under all room acoustic conditions, apart from the STI = 0.8 condition. English was the most intelligible language under all conditions, and differences with other languages were larger when conditions were poor (maximum difference of 29% at STI = 0.2, 33% at STI = 0.4 and 14% at STI = 0.6). Results also showed that Arabic and Polish were particularly sensitive to background noise, and that Mandarin was significantly more intelligible than those languages at STI = 0.4. Consonant-to-vowel ratios and languages’ distinctive features and acoustical properties explained some of the scores obtained. Sentence intelligibility scores confirmed variations between languages, but these variations were statistically significant only at the STI = 0.4 condition (sentence tests being less sensitive to very good and very poor room acoustic conditions). Additionally, perceived speech intelligibility and soundscape perception associated to these languages was also analysed in three multi-lingual environments: an airport check-in area, a hospital reception area, and a café. Semantic differential analysis showed that perceived speech intelligibility of each language varies with the type of environment, as well as the type of background noise, reverberation time, and signal-to-noise ratio. Variations between the perceived speech intelligibility of the four languages were only marginally significant (p = 0.051), unlike objective intelligibility results. Perceived speech intelligibility of English appeared to be mostly affected negatively by the information content and distracting sounds present in the background noise. Lastly, the study investigated several standards and design guidelines and showed how adjustments could be made to recommended STI values in order to achieve consistent speech intelligibility ratings across languages
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