• Proceedings of the Acoustical Society of Korea Conference
• /
• 1998.06c
• /
• pp.279-282
• /
• 1998

본 연구에서는 기존의 문헌에 자세히 기술되지 않은 주파수 분할 방법에 대한 고찰을 통해 과도음의 라우드니스 해석에 적합한 임계 대역 해석 방법을 제안하고, 이를 근거로 과도음의 라우드니스 모델을 구현하여 기존의 임상 실험 결과와의 비교함으로써 그 유효성을 확인하였다. 또한 순음의 라우드니스 해석에서 기존 라우드니스 모델이 안고 있는 신호해석 상의 문제점 등을 지적하고 이를 개선한 새로운 모델을 제시하였다. 개선 방법으로서 임계 대역폭의 1/2 간격으로 총 47개의 임계 대역 필터를 배치하여 필터의 경계에 순음이 존재할 때 발생할 수 있는 라우드니스 오차를 최소화 하였다. 또한 이 모델에서는 Zwicker가 제안했던 기존의 방법을 제안된 임계 대역 필터에 적합하도록 수정하는 작업이 포함되었다.

• Journal of Satellite, Information and Communications
• /
• v.10 no.4
• /
• pp.141-145
• /
• 2015

The dynamic range of the loudness after digitalization of television broadcasting is enlarged, and the loudness difference between the broadcast channel and between the programs within the same channel is expanded. This was subjected to interfere with the television viewer's comfort. In order to improve these problems international standards for the loudness normalization was established in ITU, Europe, USA and Japan. This regulation was introduced to Korea also as technical regulation, and this will apply the broadcast service in June 2016. In this paper, ahead of the introduction of digital television technology based on loudness measurement for the major television channel and to present the results of the comparison of technical standard.

• Journal of the Korean Institute of Telematics and Electronics
• /
• v.20 no.6
• /
• pp.58-61
• /
• 1983

This is a Loudness Control Circuit in an audio amplifier controlled by feedback type volume control variable resistors. This circuit consists of Bridged Twin T network and a ordinary variable resistor. The variably resistor acts not only as a volume control by varying feedback qupntity, but also as Loudness Control through the characteristics variation by Sound Level. This new Loudness Control Circuit showed ideal compensation characteristics that agree computer simulation and measured datas.

• The Journal of the Acoustical Society of Korea
• /
• v.19 no.5
• /
• pp.65-70
• /
• 2000

It is blown that the loudness is one of the most important metrics in assessing the sound quality and a calculation method for loudness has been standardized for steady sounds. In this study, a new loudness model is suggested for dealing with the transient sound for a unified analysis of various practical sounds. A signal processing technique is introduced for this purpose, which is required for the band subdivision and the prediction of band-level change of transient sounds. In addition, models for the post-masking and the temporal integration are adopted in the analysis of the loudness of transient sounds. In order to solve the problem of the conventional loudness model in the pure-tone signal processing, a critical band filter is employed in the analysis, which consists of 47 critical filters having a filter spacing of a half of the critical bandwidth. For testing the effectiveness of the present model, the predicted responses are compared with the experimental data and it is observed that they are in good agreements.

• Proceedings of the Acoustical Society of Korea Conference
• /
• 1995.06a
• /
• pp.155-158
• /
• 1995

150~7,000Hzd의 확대역 전화를 위한 전화 전송특성 설계지침으로 활용하기 위해, 확대역과 300~3400Hz 의 협대역 전화에 대한 통화품질 평가결과를 비교/분석하였다. 토화품질 평가는, 조정법에 의한 선호 라우드니스 레벨고 ㅏ동가 라우드니스 레벨 조정실험, 그리고 단음절 명료도평가로 구성되었다. 선호 라우드니스 레벨 조정실험의 결과, 협대역과 확대역 음성에 대한 피험자의 선호레벨이 각각 70.7dB 및 68.6dB로 약 2dB의 차이를, 피험자간 분산은 2.12와 6.11로 의미있는 차이를 보였는데, 이것은 음성대역의 확장에 따라 사용자들의분산이 크기 때문에 확대역 전화에서 수화음량 조절기능이 필요함을 증명한 결과이다. 그리고, 협/확대역 조건에서의 100개 단음절에 대한 명료도 실험 결과에서, 전체 명료도 점수간에는 통계적으로 의미있는 차이를 보이지 않았지만 단음절중 3,400Hz이상에서 많은 에너지를 갖는, 파열음 'ㅌ', 파찰음 'ㅈ', 'ㅉ', 'ㅊ', 그리고 마찰음 'ㅅ', 'ㅆ' 으로 시작하는 20개 단음절에 대한 부분명료도에 있어서 협대역과 확대역 조건간에 20%의 명료도 차이를 나타내었다. 또한, 비교 라우드니스 레벨 조정실험의 결과, 협대역과 확대역 사이의 평균 라우드니스 레벨 차이가 약 3.4dB (A)로 나타났는데, 이 결과는 국내 확대역 전화의 수화음량적격 설정에 지침으로 활용할 것이다.

• Proceedings of the Acoustical Society of Korea Conference
• /
• autumn
• /
• pp.215-218
• /
• 2004

제품 발생 소음의 음질 (sound qualify)에 대한 관심이 높아지면서, 음질 제어가 제품 경쟁력 향상에 중요한 고려 요소가 되었다. 이러한 음질에 대한 객관적인 분석을 위하여 다수의 상용 프로그램이 개발되고 있지만 라우드니스 (loudness)를 제외한 음질인자 (sound quality metrics)들은 아직 표준화 작업이 이루어지지 않았기 때문에 프로그램에 따라 차이가 발생하고 있다. 본 연구에서는 음질 분석을 위한 4 개의 상용 프로그램을 이용하여 일정 신호의 라우드니스, 샤프니스 (sharpness), 러프니스(roughness), 변동강도 (fluctuation strength)를 계산하고, 그 결과를 비교, 분석하였고, 이미 표준화 된 라우드니스를 포함한 음질인자들의 계산 결과는 프로그램에 따라 무시할 수 없는 차이가 나타남을 확인하였다. 이는 제품의 음질 평가 시 사용된 분석 프로그램 따라 그 결과가 다를 수 있음을 의미한다. 본 연구를 통해서 얻은 결과는 향후 음질 인자의 표준화 및 음질 지수 개발에 중요한 자료로 사용 될 수 있다.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.50 no.12
• /
• pp.210-216
• /
• 2013

It is hard to listen to the music clearly in the presence of background noise. In this paper, a method that modifies the audio signal automatically to enhance the audio listening experience in adverse environment is proposed. Specifically, the method that amplifies the audio signal so that the perceived loudness of audio signal in each band becomes similar to that of the noiseless signal. The loudness perception model proposed by Moore et. al is utilized. Extending the previous work that is applied to speech reinforcement, the full band signal sampled at 48kHz is manipulated based on the loudness restoration principle. Moreover, based on the observation that the audio clarity is compromised even with loudness restored signal, a modification that intentionally boosts high frequency loudness more than lower band is also proposed. Experimental results showed that the proposed algorithm can enhance the audio listening experience in adverse environment.

• The Journal of the Acoustical Society of Korea
• /
• v.19 no.8
• /
• pp.12-21
• /
• 2000

In this paper, we propose a novel hearing aid algorithm for sensorinural hearing loss restoration with multi-channel(band) dynamic range compression and psychoacoustics. In this way, we can present a normal perception condition to the impaired listener. The proposed algorithm make loudness scaling function achieve proper loudness level, and analysis masking property for the signal will be perceived to impaired listener, and then, restore normal spectral contrast using SMR(signal-to-masking ratio) defined by distance between the level of each frequency and masking threshold.

• The Journal of the Acoustical Society of Korea
• /
• v.35 no.3
• /
• pp.202-207
• /
• 2016

Most of noises from cars or home appliances accompany successive impulsive noise due to repeated operation. A human auditory system is able to perceive the successive impulsive noise as either a set of independent noise or amplitude modulated noise according to its occurrence period. This study is to identify main influence factors on understanding of impulsive characteristics and find most appropriate sound quality metrics to express the successive impulsive noise. To do this, the successive impulsive noises were designed and utilized to perform a listening test for identifying conditions where successive impulsive noise can be recognized to have impulsive characteristics. These results were analyzed with sound quality metrics such as loudness, fluctuation strength, and roughness in order to compare the subjective results with the objective results. Consequently, the results revealed that the successive impulsive noise exhibits impulsive characteristics when its occurrence frequency is less than 50 Hz. It was also observed that roughness and fluctuation strength results are not applicable to express the successive impulsive noise because they heavily depend on the amplitude modulation characteristics. On the other hand, loudness results are considered to be useful as an evaluation factor of the successive impulsive noise through the use of loudness limen because it does not depend on the amplitude modulation characteristics.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2002.11b
• /
• pp.474-479
• /
• 2002

In this research, the relationship between physical measurements and subjective evaluations of floor impact noise in apartment building was quantified by applying the neural network analysis due to its complex and nonlinear characteristics. The neural network analysis was undertaken by setting up L-value, inverse A index, Zwicker parameters and ACF/IACF factors, as input data, which came from the measurements at real suites of apartment building having various sound insulations. The subjective responses from the psychoacoustic experiments were extracted as output data. Then, the reliability of the quantitative prediction for the subjective loudness was evaluated.