IoT-Enabled Analysis of Subjective Sound Quality Perception Based on Out-of-Lab Physiological Measurements

Dourou, Nefeli; Poli, Angelica; Terenzi, Alessandro; Cecchi, Stefania; Spinsante, Susanna

doi:10.1007/978-3-030-99197-5_13

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…A lot of progress has been observed in the music emotion recognition (MER) field, where advanced predicting models are used with the aim of automatically categorizing the perceived emotion, using the rhythm and tempo of the song as remarkable indicators [2]. Moreover, previous research has shown that music induces changes in the human autonomic nervous system, which controls human emotional arousal (i.e., induced emotion) [3]. In particular, a significant part of the reported emotions of the listeners can be predicted from a set of six psychoacoustic features of music, namely loudness, pitch level, pitch contour, tempo, texture, and sharpness [4].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Listeners’ Mood on Equalization-Based Listening Experience

et al. 2022

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Using equalization to improve sound listening experience is a well-established topic among the audio society. Finding a general equalization curve is a difficult task because of spectral content influenced by the reproduction system (loudspeakers and room environment) and personal preference diversity. Listeners’ mood is said to be a factor that affects the individual equalization preference. In this study, the effect of a listener’s mood on equalization preference is tried to be investigated. Starting from an experiment with fifty-two listeners, considering five predefined equalization curves and a database of ten music excerpts, the relationship between listeners’ mood and preferred sound equalization has been studied. The main findings of this study showed that the “High-frequency boosting” equalization was the most preferred among participants. However, the “High-frequency boosting” preference of low-aroused people was slightly lower than the high aroused listeners, increasing the preference of the “Low-frequency boosting”.

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Section: Introductionmentioning

confidence: 99%

The Influence of Listeners’ Mood on Equalization-Based Listening Experience

et al. 2022

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“…Textiles 2022, 2 297 Indoor environmental quality influences occupant productivity and health; therefore, its management is crucial, and sound has a prominent role. Sound-monitoring devices find applications in urban contexts [16] with low-cost [17] wireless sensor networks [18] embedding spatial statistical analysis [19], through considering indexes that embed subjective measures [20], in detecting noise levels while being powered by energy harvesting [21] and through the development of sensor nodes for accurate indoor sound-level measurements [22].…”

Section: Introductionmentioning

confidence: 99%

“…In the last decades, important advances have been achieved in sound sensors as well. They can measure correlation between the subjective assessment of perceived sound quality and the cardiac activity of the listeners [20], they can be embedded in gloves [29] and used for sound-direction detection, acoustic communications and heart-sound auscultation [30]. Their applications are mostly in wearable fabrics.…”

Section: Introductionmentioning

confidence: 99%

Textile-Based Sound Sensors (TSS): New Opportunities for Sound Monitoring in Smart Buildings

et al. 2022

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Persistent poor acoustic conditions can imbalance humans’ psychophysical capabilities. A good acoustic project starts with either correct measurements of the existing acoustic parameters or with the correct hypothesis of new sound conditions. International standards define invasive measurement conditions and procedures that can disturb user activities. For this reason, alternative methodologies have been developed by mounting real-time sound-monitoring devices. Most of the research on these aims to decrease their dimensions in order to be placed in the tight service spaces of modern architecture and to reduce their aesthetic impact on interiors design. In this perspective, this article explores the features and potentialities of textile-based sound sensors (TSS) as they can not only fulfill these needs but can also be used as architectural ornaments by partially wrapping interiors. The ubiquitous of e-textiles for wearable applications has led to increasing the performance of TSS. Therefore, a comparison of the sensitivity values, signal-to-noise ratio and noise floor of sound TSS with sound sensors is presented, which is still missing in the literature. The paper demonstrates how these can be exploited for sound monitoring and can provide valid opportunities for new smart acoustic textiles.

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