• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.14-24
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• 2016

Recently, the sound design of the electric vehicle has emerged as one of the new research objects. This study was conducted to explore and examine major values of interior driving sound of the electric vehicle from the perspective of user experience. An exploratory study based on the ground theory extracted contextual information and quietness as independent variables, and then we analyzed the main and interaction effects of those two variables on the usefulness, emotion, and satisfaction through a $2{\times}2$ factorial experimental design. The experimental study demonstrated that the effect on the user experience of electric vehicle can be conditioned by the combination of contextual information sound and quietness. Based on the results of this study, we suggested future research agendas for the optimization of user needs which reflect individual preference of interior driving sound values.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.3
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• pp.273-279
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• 2009

In this paper, we address the problem of detecting incorrect sonar measurements. We use ideas from the inconsistency of information among sonar measurements together with the sound pressure of the wave from the sonar sensor to develop a new method, called the comparison of the sound pressure (CSP), to detect incorrect sonar readings. The inconsistency of information in cells can be a clue that indicates candidates for incorrect measurements, and the sound pressure of the wave from the sonar sensor determines incorrect readings among the candidates. From various experiments, the proposed method is confirmed that it is better than existing method at deciding the state of sonar measurements.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.11
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• pp.2978-2990
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• 1996

With the advent of multimedia era, there are ever increasing interest in computer music and sound syntheis. An FM type sound synthesizing method makes possible the syntheis ofvarious sounds ofmusical instruments with a relatively simple hardware architecture. Therefore, in this paper, we designed a hardware architecture for real-time sound synthesizer and its logic gates. In this paper, we designed a basic sound generator for implementation of real-time logic gates, analzed characteristics of sounds synthesized in this architecture and extracted parameters of FM sounds of musical instruments by using the Csound software. The major bolkcs to build the hardware are a phase-generator, a singe-function-generator, an envelope-generator and a multiplier-part. Finally, logic circuits are designed and verified in VHDL and logic gates by 1.0um standard cell library, which will be easily implementable by the form of ASIC.

• Journal of the Korea Society of Computer and Information
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• v.22 no.7
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• pp.93-100
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• 2017

In this paper, we propose a methodology of using time-lag, make it serve the sound field, in order to smoothen the music production and reduce conflicts. The importance of music production in today's music industry chain is becoming more and more apparent. In the process of music production, the creators pay more attention to the design and adjustment of virtual sound field, especially the late mixing and production. In the process, as a commonly used tool for the adjustment of sound field, "time-lapse" plays a decisive role.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.415-416
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• 2007

HRTF DB, including the information of the sounds which is arrived to our ears, is generally used to make a 3D sound. But it can decline some three-dimensional effects by the confusion between front and back directions due to the non-individual HRTF depending on each listener. In this paper, we propose a new method to use psychoacoustic theory that reduces the confusion of sound image localization. And we make use of an excitation energy by the sense of hearing. This method is brought HRTF spectrum characteristics into relief to draw out the energy ratio about the bark band and control low frequency band. Informal listening tests show that the proposed method improves the front-back sound localization characteristics much better than the conventional methods.

• Language and Information
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• v.7 no.2
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• pp.81-101
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• 2003

This paper introduces a computerized version of the Korean Standard Pronunciation Rules that can be used in speech engineering systems such as Korean speech synthesis and recognition systems. For this purpose, we build Petri net models for each item of the Standard Pronunciation Rules, and then integrate them into the sound conversion table. The reversion of the Korean Standard Pronunciation Rules regulates the way of matching sounds into grammatically correct written characters. This paper presents not only the sound conversion table but also the character conversion table obtained by reversely converting the sound conversion table. Malting use of these tables, we have implemented a Korean character into a sound system and a Korean sound into the character conversion system, and tested them with various data sets reflecting all the items of the Standard Pronunciation Rules to verify the soundness and completeness of our tables. The test results show that the tables improve the process speed in addition to the soundness and completeness.

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.53-59
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• 2015

Noise from the surrounding environment, building structures and machine equipment have significant effects on daily life. Many solutions to this problem have been suggested by analyzing causes of noise generated from particular locations in general buildings or machine equipment and detecting defects of buildings or equipment. Therefore, this paper suggests a visualization technique of sounds by using the microphone array to measure sound sources from machines and perform the visual machine condition monitoring (VMCM). By analyzing sound signals and presenting effective sound visualization methods, it can be applied to identify machine's conditions and correct errors through real-time monitoring and visualization of noise generated from the plant machine equipment.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.605-607
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• 2023

Recent research has highlighted the effectiveness of Deep Learning (DL) techniques in automating the detection of lung sound anomalies. However, the available lung sound datasets often suffer from limitations in both size and balance, prompting DL methods to employ data preprocessing such as augmentation and transfer learning techniques. These strategies, while valuable, contribute to the increased complexity of DL models and necessitate substantial training memory. In this study, we proposed a streamlined and lightweight DL method but effectively detects lung sound anomalies from small and imbalanced dataset. The utilization of 1D dilated convolutional neural networks enhances sensitivity to lung sound anomalies by efficiently capturing deep temporal features and small variations. We conducted a comprehensive evaluation of the ICBHI dataset and achieved a notable improvement over state-of-the-art results, increasing the average score of sensitivity and specificity metrics by 2.7%.

• Journal of Broadcast Engineering
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• v.16 no.5
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• pp.846-860
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• 2011

The binaural auditory system of human has ability to differentiate the direction and the distance of the sound sources by using the information which are inter-aural intensity difference(IID), inter-aural time difference(ITD) and/or the spectral shape difference(SSD). These information is generated from the acoustical transfer of a sound source to pinna, the outer ears. We can create a virtual sound system using the information which is called Head related transfer function(HRTF). However the performance of 3D sound is not always satisfactory because of non-individual characteristics of the HRTF. In this paper, we propose the algorithm that uses human's auditory characteristics for accurate perception. To achieve this, excitation energy of HRTF, global masking threshold and loudness are applied to the proposed algorithm. Informal listening test shows that the proposed method improves the sound localization characteristics much better than conventional methods.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.1235-1238
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• 1998

In television stereo system, to produce the sound image for spatial impression is too difficult because of the narrow distence between two speakers. A method of widening the sound image using precedence effect was introduced but it didn't work effectively in low frequency band. In this paper, we propose a new method to produce an expanded sound image in full band of audio requency in band sound is expanded by phase shifting method and a higher frequency band sound is expanded by reflection. In simulation and experiment, the proposed system guarantees useful effect of sound image expansion in television stereo system.