• Journal of the Korea Computer Industry Society
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• v.3 no.8
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• pp.1063-1072
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• 2002

Characteristics of a guitar sound changes according to the internal structure a guitar. The developed system uses a PC to analyze a guitar sound, which will have different characteristics in accordance with the internal structure of the guitar and the material that the guitar made, and make a data base. The developed system consist of three parts; a mechanical body which holds a guitar and the internal structure of the guitar can be changed easily; DSP sound acquisition boards which have multi channel sound input and A/D converting abilities with RS232C data transfer to PC abilities; and software which runs on a PC to analyze the input sound and make a data base.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.857-860
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• 2005

A guitar pickup transforms the vibration of strings to the electric signals, and deliveres them to an amplifier. A piezo pickup has interference problem between strings. The paper aims to improve sound quality for an electro-acoustic guitar through the finite element analysis. Firstly the conventional pickup is modeled and analyzed with a commercial program called ANSYS. It is obvious that there exists interference between the strings. The structural modification of the pickup is performed, based on the beam theory The modified structures are suggested, modeled and analyzed. Then the result are compared with those in the conventional pickup. It can be concluded that the interferences with the modified structures are much less than those with the conventional structure.

• Journal of the Korean Society for Precision Engineering
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• v.24 no.3 s.192
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• pp.55-60
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• 2007

The electro-acoustic guitar pickup converts the vibration of strings to the electric signals, and delivers them to an amplifier. The vibration of the strings is transferred to the piezoelectric material through the saddle. This paper aims to improve sound quality for electro-acoustic guitars through the finite element analysis of the saddle. Firstly, the conventional pickup is modeled and analyzed with a commercial program called ANSYS. It is obvious that there exists interference phenomenon of stress. A structural modification of the pickup is performed, based on the beam theory. The modified structure is modeled and analyzed. Finally, the fabricated structures are subjected to the measurements and compared with the conventional pickup. It can be concluded that the interference with the modified structure is much less than that with the conventional structure, and that the sound quality is improved with the modified structures.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.1-8
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• 2013

This paper proposes an effective parallel implementation of a physical modeling synthesis of guitar on the GPU environment. We used appropriate filter coefficients and adjusted the length of delay line for each open string to generate 44,100 six-polyphonic guitar sounds (E2, A2, D3, G4, B3, E4) by using physical modeling synthesis. In addition, we analyzed the physical modeling synthesis algorithm and observed that we can exploit parallelism inherent in the length of delay line. Thus, we assigned CUDA cores as many as the length of delay line and effectively implemented the physical modeling synthesis using GPU to achieve the highest performance. Experimental results indicated that synthetic guitar sounds using GPU were very similar to the original sounds when we compared their spectra. In addition, GPU achieved 68x and 3x better performance than high-performance TI DSP and CPU, respectively. Furthermore, this paper implemented and evaluated the performance of multi-GPU systems for the physical modeling algorithm.

• The Journal of the Acoustical Society of Korea
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• v.29 no.3
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• pp.191-199
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• 2010

Physical modeling is a synthesis method of high quality sound which is similar to real sound for musical instruments. However, since physical modeling requires a lot of parameters to synthesize sound of a musical instrument, it prevents real-time processing for the musical instrument which supports a large number of sounds simultaneously. To solve this problem, this paper proposes a single instruction multiple data (SIMD) parallel processor that supports real-time processing of sound synthesis of guitar, a representative plucked string musical instrument. To control six strings of guitar, we used a SIMD parallel processor which consists of six processing elements (PEs). Each PE supports modeling of the corresponding string. The proposed SIMD processor can generate synthesized sounds of six strings simultaneously when a parallel synthesis algorithm receives excitation signals and parameters of each string as an input. Experimental results using a sampling rate 44.1 kHz and 16 bits quantization indicate that synthesis sounds using the proposed parallel processor were very similar to original sound. In addition, the proposed parallel processor outperforms commercial TI's TMS320C6416 in terms of execution time (8.9x better) and energy efficiency (39.8x better).

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.1-10
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• 2012

Improving operating frequency of processors is no longer today's issues; a multiprocessor technique which integrates many processors has received increasing attention. Currently, high-performance processors that integrate 64 or 128 cores are developing for large data processing over 2, 4, or 8 processor cores. This paper proposes an optimal many-core processor for synthesizing guitar sounds. Unlike the previous research in which a processing element (PE) was assigned to support one of guitar strings, this paper evaluates the impacts of mapping different numbers of PEs to one guitar string in terms of performance and both area and energy efficiencies using architectural and workload simulations. Experimental results show that the maximum area energy efficiencies were achieved at PEs=24 and 96, respectively, for synthesizing guitar sounds with sampling rate of 44.1kHz and 16-bit quantization. The synthesized sounds were very similar to original guitar sounds in their spectra. In addition, the proposed many-core processor was 1,235 and 22 times better than TI TMS320C6416 in area and energy efficiencies, respectively.

• The Journal of the Acoustical Society of Korea
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• v.28 no.2
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• pp.119-126
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• 2009

This paper describes the non-stringed guitar composed of laser strings, frets, sound synthesis algorithm and a processor. The laser strings that can depict stroke and playing arpeggios comprise laser modules and photo diodes. Frets are implemented by voltage divider. The guitar body does not need to implement physically because commuted waveguide synthesis is used. The proposed frets enable; players to represent all of chords by the chord glove as well as guitar solo. Sliding, hammering-on and pulling-off sounds are synthesized by using parameters from the voltage divider. Because the pitch shifting corresponds to the time-varying propagation speed in the digital waveguide model, the proposed model can synthesize vibrato as well. After transformation of signals from the laser strings and frets into parameters for synthesis algorithm, the digital signal processor, TMS320F2812, performs the real-time synthesis algorithm and communicates with the DAC. The demonstration movieclip available via the Internet shows one to play a song, 'Arirang', synthesized by proposed algorithm and interfaces in real-time. Consequently, we can conclude that the proposed synthesis algorithm is efficient in guitar solo and there is no problem to play the non-stringed guitar in real-time.

• Journal of Broadcast Engineering
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• v.22 no.2
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• pp.173-181
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• 2017

In this paper, we propose a musical instrument conversion based music ensemble application for smartphone. If we try to create ensemble music using virtual instruments provided by the conventional smartphone application, we should know how to play each instrument. In addition, it is impossible to play the instrument in a natural way if the smartphone screen cannot show the entire part of the instrument. To solve this problem, in this paper, we propose a smartphone application that records music sound by playing an acoustic guitar, converts it to other instruments' sound, applies effect to the converted sound, and creates a final ensemble music after mixing all sounds. Using the proposed application, the user can create ensemble music only by playing the acoustic guitar.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.1-4
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• 2014

Although physical modeling synthesis is becoming more and more efficient in rich and natural high-quality sound synthesis, its high computational complexity limits its use in portable devices. This constraint motivated research of single-instruction multiple-data many-core architectures that support the tremendous amount of computations by exploiting massive parallelism inherent in physical modeling synthesis. Since no general consensus has been reached which grain sizes of many-core processors and memories provide the most efficient operation for sound synthesis, design space exploration is conducted for seven processing element (PE) configurations. To find an optimal PE configuration, each PE configuration is evaluated in terms of execution time, area and energy efficiencies. Experimental results show that all PE configurations are satisfied with the system requirements to be implemented in portable devices.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.1-2
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• 2012

본 논문에서는 GPU 컴퓨팅 환경에서 물리적 모델링 기반의 음 합성 알고리즘을 수행하는 경우에 GPU의 개수에 따른 성능 및 에너지 효율의 변화를 분석한다. 실험결과, 6개의 GPU를 사용하였을 때 가장 좋은 성능을 보였으며, 1개의 GPU에서 가장 높은 에너지 효율을 보였다.