Browsing by Author "Hsu, Timothy Y."

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    A Perceptual Evaluation of Music Real-Time Communication Applications
    (IEEE, 2023-04-28) Goot, Dana Kemack; Chaubey, Harshit; Hsu, Timothy Y.; Deal , William Scott; Music and Arts Technology, School of Engineering and Technology
    Music Real-time Communication applications (M-RTC) enable music making (musiking) for musicians simultaneously across geographic distance. When used for musiking, M-RTC such as Zoom and JackTrip, require satisfactorily received acoustical perception of the transmitted music to the end user; however, degradation of audio can be a deterrent to using M-RTC for the musician. Specific to the audio quality of M-RTC, we evaluate the quality of the audio, or the Quality of Experience (QoE), of five network music conferencing applications through quantitative perceptual analysis to determine if the results are commensurate with data analysis. The ITU-R BS.1534-3 MUlti Stimulus test with Hidden Reference and Anchor (MUSHRA) analysis is used to evaluate the perceived audio quality of the transmitted audio files in our study and to detect differences between the transmitted audio files and the hidden reference file. A comparison of the signal-to-noise ratio (SNR) and total harmonic distortion (THD) analysis to the MUSHRA analysis shows that the objective metrics may indicate that SNR and THD are factors in perceptual evaluation and may play a role in perceived audio quality; however, the SNR and THD scores do not directly correspond to the MUSHRA analysis and do not adequately represent the preferences of the individual listener. Since the benefits of improved M-RTC continue to be face-to-face communication, face-to-face musiking, reduction in travel costs, and depletion of travel time, further testing with statistical analysis of a larger sample size can provide the additional statistical power necessary to make conclusions to that end.
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    Evaluating QRD Arrays generated with Shape Grammars
    (ACM, 2020-05) Dessi-Olive, Jonathan; Hsu, Timothy Y.; Music and Arts Technology, School of Engineering and Technology
    This paper broadens the scope of on-going research that introduces rule-based methods for designing creative acoustic arrays: from single-frequency QRD-based panels to those which account for multiple design parameters such as frequency, absorption, and number of wells. Expanded parameters create more complex arrays that give acousticians a finely tuned and intentional acoustical response as it relates to these input rules. Numerical simulations show three-dimensional directivity responses for these shape grammar generated diffuser arrays. A visual complexity coefficient is presented to quantify the aesthetic component to designs of arrays of acoustic panels. Along with spatial simulated diffusion response, diffusion coefficients, and the visual complexity coefficient, designers and acousticians will be afforded ways to create both acoustical effective and visually interesting arrays.
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    Experimental Design for Flexible Acoustic Transducer for the Violin
    (Accademia Musicale Studio Musica (Italy), 2021-03) Racz, Elijah E.; Hsu, Timothy Y.; Music and Arts Technology, School of Engineering and Technology
    This paper explores an experimental design for a transducer which is able to conform to surfaces with curves in multiple directions. The purpose of this is to create a flexible transducer which reduces the distortion attributed and created by the lack of uniformity between a rigid flat transducer and a curved surface. Using an array of magnets arranged and a loose weaved coil, it is possible to construct a coil which can conform to such a surface and produce motion, like a classic transducer, creating sound using the surface like a speaker cone. In this musical application, this design was tested using a violin body as the curved surface. The resultant prototype may serve as a viable alternative to rigid transducer technology with further improvement and refinement.
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    A Pilot Study for Algorithmic Diction Detection for Use by Singers and Vocal Teachers
    (Studio Musica Press, 2021-01) Rathi, Bhawna; Hsu, Timothy Y.; Music and Arts Technology, School of Engineering and Technology
    This paper introduces an algorithmic signal processing method to quantify vocal dic-tion using audio files that can potentially assist singers and teachers. Clear diction and pronunciation in singing is important for a variety of reasons and should be ex-ercised alongside the development of voice. In order to convey a clear verbal mes-sage, strong diction is needed. To accomplish this goal of diction detection, the in-terpretation of the consonants is of prime significance. The proposed algorithm works with features such as zero crossing rate, spectral spread, spectral flux and spectral centroid. In this paper, we offer a proposed framework and algorithm of dic-tion detection using modern applicable audio features and extraction techniques. Fu-ture approach for analysis of diction is also defined.