Amplifying Sensory Spaces: The In- and Out-Puts of Headphone Theatre

Klich, Rosemary E.

doi:10.1080/10486801.2017.1343247

Cited by 9 publications

(3 citation statements)

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“…Although linear regression was an effective solution for the predictive model, the vast number of variables hid the popularity of the computer-aided design [1]. Therefore, in the current work, principal component analysis [5] was applied in order to reduce the dimensions of the formulation in order to yield a handy tool for the prediction of the expected sound outcome based on the parameters [6], while it was expected that the formulation would be useful from a practical viewpoint even with a trade-off in the performance. Therefore, for the sake of demonstrating the problem-solving process, the goals and objectives of this project will be established to define the scope and guide the research implementation, along with explaining the motivation behind the work.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Earphone Design Using Principal Component Analysis

Lui,

Lee

2023

Applied Sciences

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This research investigated a mathematical model of earphone design with principal component analysis. Along with simplifying the design problem, a predictive model for the sound quality indicators, namely, total harmonic distortion, power of output, range of frequency response, signal-to-noise ratio, impedance of the speaker, and headroom, was formulated. (1) Background: Earphone design is a difficult problem requiring excessive experience and know-how in the process. Therefore, this research was developed to formulate a predictive model to facilitate the design process. (2) Methods: A simplified model for the design was developed in previous research, while the sound quality indicators were found to be connected to the eight material-specific parameters. Simultaneously, a principal component analysis (PCA) was utilized to decrease the number of input variables and create a more convenient and streamlined model. (3) Results: The principal component analysis-based approach obtained suboptimal predictive accuracy for the sound quality indicators, but a simplified formulation was obtained. (4) Conclusions: Based on the development and comparison of the modelling approach, it can be seen that principal component analysis can be utilized to simplify the mathematical model of the earphone design problem with a trade-off of accuracy.

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Section: Introductionmentioning

confidence: 99%

Modelling of Earphone Design Using Principal Component Analysis

Lui,

Lee

2023

Applied Sciences

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“…The authentic-self is not only in a perpetually fluid state between the concrete parameters of birth and death, but balances the urges from within with the pressures and influences from without. Charlotte Spencer's use of wireless headphones to feed participants instructions was a means to not only practically deliver narrative, but to also manage a fine balance between isolation and connection (Klich, 2017). Each…”

Section: Introductionmentioning

confidence: 99%

Mindfulness, Authenticity and Participation.

Green

2021

Performance and Mindfulness

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Xiao do not explicitly cite Buddhist or existentialist traditions, yet they evoke impermanence and the non-self, encourage equanimity, question facticity and embrace becoming. This paper explores how and why attitudes of mindfulness and existential mechanisms of authenticity become manifest in contemporary forms of participatory performance. It proposes that liminality is central to the efficacy of these participatory modes of performance, as they attempt to engage with the uncertainty participants face in modern life.

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“…In the current work, the related research gap would be catered to in order to benefit the design process of earphones. Essentially, the current project can be considered a consolidation of the design knowledge and a typical example of the utilization of the previously collected data for computer-aided design (Klich, 2017). Practically, the major innovation of the research study was the simplification and the design practices and the employment of statistical tools in generating recommendations and knowledge to guide future research and development (Xiao & Chan, 2017).…”

Section: Introductionmentioning

confidence: 99%

An Investigation of the Earphone Design with Regression Analysis

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The current research work provides an investigation into the connection between the design parameters of an earphone and the sound quality performance in order to generate recommendations for future designs. As the earphone design was highly dependent on the empirical experience of the engineers, along with extensive trial and error, it was found to be difficult for research and development. Therefore, the current study sought a systematic approach to deal with the design. Along with the simplification of the earphone design problem, the sound quality performance outcomes were characterized by six factors, including total harmonic distortion, output power, frequency response, signal-tonoise ratio, speaker impedance, and headroom with seven levels with eight design parameters for the selection of types of divers (dynamic driver/moving coil, balanced armature driver, and planar magnetic driver), magnet (N35, N40, N45, and N50 Grade Neodymium Magnet), voice coils (copper wire, copper-covered aluminium wire, and silver wire), and diaphragm (polyethene terephthalate, polyethene naphtholate, polyetheretherketone, and polyetheretherketone + polyurethane) for the two drivers with zeros for the earphone products with a single driver. After the consolidation of the data from the manufacturer, regression analysis was conducted, while the six equations were formulated, and the models highlighted the importance of the selection of the type of primary driver and the irrelevance of the type of secondary driver. The result not only provides a direct and evidence recommendation for the research and development of earphones, but the research work also proposes an innovative way for knowledge generation from the information as well as existing data.

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Amplifying Sensory Spaces: The In- and Out-Puts of Headphone Theatre

Cited by 9 publications

References 0 publications

Modelling of Earphone Design Using Principal Component Analysis

Modelling of Earphone Design Using Principal Component Analysis

Mindfulness, Authenticity and Participation.

An Investigation of the Earphone Design with Regression Analysis

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