• The Journal of the Acoustical Society of Korea
• /
• v.20 no.1
• /
• pp.3-12
• /
• 2001

In physical modeling of plucked string instruments, the vibration of a string is typically simulated by the linear system. Currently the Digital Waveguides of J.O.Smith[1] are widely used to get a high quality sound of the plucked string instrument. He used the wave equation to derive the Digital Waveguides and emphasized the time variable. In this thesis, new model of plucked string is proposed to improve the sound quality emphasizing the spatial variable of the wave equation. In our model, we used the fixed sampling interval which is not dependent on the speed of the wave. So we could get more detailed description of wave movement by the time variable. As a result, the new model could produce a higher quality sound of plucked string instrument.

• The Journal of the Acoustical Society of Korea
• /
• v.28 no.6
• /
• pp.526-533
• /
• 2009

This paper proposes a formant synthesis method of Haegeum sounds using cepstral envelope for spectral modeling. Spectral modeling synthesis (SMS) is a technique that models time-varying spectra as a combination of sinusoids (the "deterministic" part), and a time-varying filtered noise component (the "stochastic" part). SMS is appropriate for synthesizing sounds of string and wind instruments whose harmonics are evenly distributed over whole frequency band. Formants extracted from cepstral envelope are parameterized for synthesis of sinusoids. A resonator by Impulse Invariant Transform (IIT) is applied to synthesize sinusoids and the results are bandpass filtered to adjust magnitude. The noise is calculated by first generating the sinusoids with formant synthesis, subtracting them from the original sound, and then removing some harmonics remained. Linear interpolation is used to model noise. The synthesized sounds are made by summing sinusoids, which are shown to be similar to the original Haegeum sounds.

• The Journal of the Acoustical Society of Korea
• /
• v.30 no.5
• /
• pp.281-294
• /
• 2011

Physics-based sound synthesis usually requires high computational costs and this results in a restriction of its use in real-time applications. This motivates us to implement the sound synthesis algorithm of plucked-string instruments using multi-core processor architectures and determine the optimal processing element (PE) configuration for the target instruments. To determine the optimal PE configuration, we evaluate the impacts of a sample-per-processing element (SPE) ratio that is defined as the amount of sample data directly mapped to each PE on system performance and both area and energy efficiencies using architectural and workload simulations. For the acoustic guitar, the highest area and energy efficiencies are achieved at a SPE ratio of 5,513 and 2,756, respectively, for the synthesis of musical sounds sampled at 44.1 kHz. In the case of the classical guitar, the maximum area and energy efficiencies are achieved at a SPE ratio of 22,050 and 5,513, respectively. In addition, the synthetic sounds were very similar to original sounds in their spectra. Furthermore, we conducted MUSHRA subjective listening test with ten subjects including nine graduate students and one professor from the University of Ulsan, and the evaluation of the synthetic sounds was excellent.

• Proceedings of the Acoustical Society of Korea Conference
• /
• spring
• /
• pp.255-258
• /
• 1999

본 논문에서는 파동 방정식으로부터 클래식 기타의 Physical 모델을 유도해 낸 후 이를 구현하였다. 이러한 모델을 이용해 별도의 음원 데이터를 사용하지 않고 현재 전자 음악에서 일반적으로 사용되는 table look-Up 방식보다 효율적으로 악기 음을 함성 할 수 있도록 하였다. 파동 방정식은 현의 장력, 길이 및 질량 데이터를 이용해 현의 움직임을 표현한 것이며 이 식으로부터 Fourier Series를 유도하고 다시 Z 변환을 거쳐 현의 운동을 모델링하였다. 이 과정에서 현의 양끝에서 반사되는 신호의 크기를 모델링에 포함 시켰다. 이러한 현의 모델은 모든 종류의 현악기에 공통으로 적용될 수 있으며 현의 장력 길이, 질량 데이터를 변화해 다양한 현의 특성들을 모델링 할 수 있다. 또 음 합성을 위해 현의 초기 상태 및 연속되는 입력 데이터를 바꿔 클래식 기타의 다양한 음들을 합성 할 수 있다. 클래식 기타의 Physical 모델을 평가하기 위해, 실제 악기 음 및 table look-up 방식으로 합성된 음들을 녹음해 서로 비교하였다. 시간 및 주파수 도메인 상에서 비교가 이뤄 졌으며 table look-up 합성 방식에서 모든 주파수대가 동일하게 감소하고 비슷한 음역에서 음 높이에 적합한 배음 주파수 비율을 조절할 수 없는 등, 각 을의 특성들을 정확히 묘사할 수 없는 문제점을 극복할 수 있었다.

• The KIPS Transactions:PartA
• /
• v.18A no.1
• /
• pp.1-10
• /
• 2011

Physical modeling has been widely used for sound synthesis since it synthesizes high quality sound which is similar to real-sound for musical instruments. However, physical modeling requires a lot of parameters to synthesize a large number of sounds simultaneously for the musical instrument, preventing its real-time processing. To solve this problem, this paper proposes a single instruction, multiple data (SIMD) based multi-core processor that supports real-time processing of sound synthesis of gayageum which is a representative Korean traditional musical instrument. The proposed SIMD-base multi-core processor consists of 12 processing elements (PE) to control 12 strings of gayageum in which each PE supports modeling of the corresponding string. The proposed SIMD-based multi-core processor can generate synthesized sounds of 12 strings simultaneously after receiving excitation signals and parameters of each string as an input. Experimental results using a sampling reate 44.1 kHz and 16 bits quantization show that synthesis sound using the proposed multi-core processor was very similar to the original sound. In addition, the proposed multi-core processor outperforms commercial processors(TI's TMS320C6416, ARM926EJ-S, ARM1020E) in terms of execution time ($5.6{\sim}11.4{\times}$ better) and energy efficiency (about $553{\sim}1,424{\times}$ better).

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

• The Journal of the Acoustical Society of Korea
• /
• v.32 no.4
• /
• pp.361-368
• /
• 2013

As one way to describe the behavior of a vibrating string, analogies to a transmission line have been made based on the fact that they have oppositely travelling waves on each of them. In such analogies, a rigid end to the string has been represented as an open circuit, and the displacement of the string as the current on the transmission line. However it turns out that the rigid end corresponds to a short circuit, the displacement to the voltage by the theory of the transmission line, and it is confirmed by experiments with circuit simulations. Based on these discoveries, a transmission line based plucked string model comprising a transmission line, two piecewise linear current sources, and switches is proposed. The proposed model is validated by showing that the voltage at the arbitrarily chosen location, and the voltage calculated over an infinitesimal portion at the end of the transmission line are consistent with the displacement at the corresponding location and the force on the rigid end of the string from the well known difference form of a wave equation governing the behavior of the string with its fundamental frequency tuned to that for the proposed model, respectively. Moreover, the applicability of the proposed model to modeling string and wind instruments is presented.