• 제목/요약/키워드: Audio Analysis

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RightMark 테스트를 이용한 스마트폰 음악치료의 알파웨이브 음악 분석 (Analysis of alpha wave from Smartphone music treatments through RightMark test)

  • 류창수;이명환
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2013년도 제48차 하계학술발표논문집 21권2호
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    • pp.127-128
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    • 2013
  • 최근 'healing'이라는 단어가 여기저기에서 많이 사용되고 있다. 과도한 업무와 스트레스에 지친 직장인들뿐만 아니라 학생들까지도 'healing'을 찾고 있는 추세이다. 그러다 보니 자연스럽게 명상이나 요가, 음악 치료와 같은 심신의 건강, 회복과 정서적인 안정을 위한 여러 가지 활동들을 찾게 되었으며 스마트폰이 발달함에 따라서 지금은 스마트폰의 애플리케이션을 이용하여 쉽고 간편하게 음악 치료를 이용하고 있으며, 두뇌와 비타민의 합성어인 BTamin 음악이 유행처럼 번지게 되며 뇌파 (Bectro Encephaio Graphy : EGG)에 대한 관심도 높아졌다. 본 논문은 안드로이드 마켓의 Music Therapy for sound sleep 애플리케이션의 알파 웨이브 음악을 RightMark Audio Analyzer 프로그램을 통하여 분석 해보았다.

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신경회로망을 이용한 ARS 장애음성의 식별에 관한 연구 (Classification of Pathological Voice from ARS using Neural Network)

  • 조철우;김광인;김대현;권순복;김기련;김용주;전계록;왕수건
    • 음성과학
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    • 제8권2호
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    • pp.61-71
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    • 2001
  • Speech material, which is collected from ARS(Automatic Response System), was analyzed and classified into disease and non-disease state. The material include 11 different kinds of diseases. Along with ARS speech, DAT(Digital Audio Tape) speech is collected in parallel to give the bench mark. To analyze speech material, analysis tools, which is developed local laboratory, are used to provide an improved and robust performance to the obtained parameters. To classify speech into disease and non-disease class, multi-layered neural network was used. Three different combinations of 3, 6, 12 parameters are tested to obtain the proper network size and to find the best performance. From the experiment, the classification rate of 92.5% was obtained.

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이직을 고려해 본 임상간호사의 상처와 용서 경험 (A Phenomenological Study on the Experience of Hurt and Forgiveness of Clinical Nurses in Korea after Loss of Employment)

  • 조계화;성기월;김영경
    • 대한간호학회지
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    • 제38권4호
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    • pp.561-572
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    • 2008
  • Purpose: The purpose of this study was to understand and analyze the experience of hurt and forgiveness of clinical nurses in Korea. Methods: A phenomenological research method guided data collection and analysis. The subjects were a total of 5 nurses who had experienced hurt and forgiveness. Data was collected through individual in-depth interviews. All interviews were audio taped and transcribed verbatim. Coding was used to establish different concepts and categories. Results: The following three common constituents have been found as a retrospective focus based on the primary hurt related to the clinical situation; recognizing their personal values, obtaining their view about forgiveness, as well as their view of self. Conclusion: The results of this study may contribute to health professionals working in various clinical settings to understand Korean nurses with hurt and forgiveness experiences.

객관적 음질 평가를 위한 PEAQ의 성능 평가 및 분석 (Analysis and Evaluation of PEAQ : Objective Method for Perceived Audio Quality Measurement)

  • 박세형;류승완;박정렬;신재호
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2003년도 하계학술대회
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    • pp.234-239
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    • 2003
  • 디지털방송, DAB 등과 같은 디지털 오디오 방송 서비스를 위한 디지털 시스템을 설계하기 위해서는 오디오 음질을 평가하기 위한 방법이 필수적이다. 기존의 방식은 인간의 귀를 이용한 주관적 방식을 이용함으로서 많은 시간과 비용을 들이게 되며, 음질평가를 하는 사람의 주관적 의견에 많이 좌우하게 된다. 그러나 최근 ITV-R에서는 오디오 음질의 객관적 평가를 위한 BS.1387(PEAQ)를 제안함으로 많은 시간과 비용을 절감하고 신뢰할 수 있는 결과를 얻게 되었다. PEAQ는 인간의 귀에서의 신호의 처리과정과 인식과정을 심리음향모델과 인식모델로 분리하여 구성함으로써 주관적 평가의 SDG(Subjective Difference Grade)에 대응하는 ODG(Objective Difference Grade)를 구하게 된다. 본 논문에서는 이러한 PEAQ의 심리음향 모델과 인식 모델을 원리와 과정을 평가 분석하였다.

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DMB 멀티미디어 서비스를 위한 효율적인 비디오 다중화 방식 (An effective video multiplexing method for the DMB multimedia services)

  • 나남웅;백선혜;홍성훈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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    • pp.267-270
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    • 2003
  • The DMB recently standardized in Korea is a Eureka-147 DAB(Digital Audio Broadcasting)-based standard which is able to provide multimedia services including moving pictures, still images, text and etc. That has the structure to add the MPEG media codec and the MPEG system, namely, video-multiplexer to the DAB system. In this paper, we analysis the video-multiplexer of the DMB standard and propose a new multiplexer, namely. M4GM(MPEG-4 General Mux) included in the DMB vido-multiplexer for the performance improvement with respect to the transmission efficiency and the expansible functions. In addition, we simulate the two video-multiplexers and then compare and estimate their performance entirely.

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국악 악기 가야금과 피리의 신호 분석에 관한 연구 (A Study on Signal Analysis of Korean Traditional Music Instrument, Kayakeum and Piri)

  • 이상민;이종석;이광형
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1999년도 학술발표대회 논문집 제18권 1호
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    • pp.247-250
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    • 1999
  • Like any other music, Korean traditional music make a beautiful compound melody of many music instruments. In this paper, we separate melody especially played by two instruments, that is Kayakeum, Piri(Korean pipe) analysing each audio signal. Kayakeum, Piri have a unique frequency component for each sound height. Therefore each melody of them can be expressed into each sheet of notation separately and MIDI codes. We expect that this paper will benefit all the people studying and instructing Korean music.

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MDCT/IMDCT의 효율적인 구현을 위한 새로운 알고리즘 (A New Algorithm for An Efficient Implementation of the MDCT/IMDCT)

  • 조양기;이원표;인치호;김희석
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.2471-2474
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    • 2003
  • The modified discrete cosine transform (MDCT) and its inverse transform (IMDCT) are employed in subband/transform coding schemes as the analysis/synthesis filter bank based on time domain aliasing cancellation (TDAC). And they are the most computational intensive operations in layer III of the MPEG audio coding standard. In this paper, we propose a new efficient algorithm for the MDCT/IMDCT computation. It is based on the MDCT/IMDCT computation algorithm using the discrete cosine transforms (DCTs), and it employs two discrete cosine transform of type II(DCT-II) to compute the MDCT/IMDCT. In addition to, it takes advantage of ability in calculating the MDCT/IMDCT computation, where the length of a data block is divisible by 4. The proposed algorithm in this paper requires less calculation complexity than the existing methods. Also, it can be implemented by the parallel structure,, and its structure is particularly suitable for VLSI realization.

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The Analysis on DSP-based hands-free car kit

  • Zhang, Chun-Xu;Shin, Yun-Ho;Shin, Hyun-Sik
    • 한국전자통신학회논문지
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    • 제3권4호
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    • pp.228-232
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    • 2008
  • For the past several years, many countries have passed or have recommended legislation making it illegal to use in-hand mobile phones while driving and several manufacturers have released car kit solutions enabling hands-free operation of the mobile phone. But an automobile environment can pose extremely harsh physical conditions impacting audio quality, safety, and reliability. This article introduced a Car Kits that provided a total entertainment and telematics solution, which support all current features within the constraints of low power consumption, form factor, price, ease-of-use, manufacture ability, testability and high total quality.

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인공신경망 기반의 기타 코드 분류 시스템 성능 비교 (Performance Comparison of Guitar Chords Classification Systems Based on Artificial Neural Network)

  • 박선배;유도식
    • 한국멀티미디어학회논문지
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    • 제21권3호
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    • pp.391-399
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    • 2018
  • In this paper, we construct and compare various guitar chord classification systems using perceptron neural network and convolutional neural network without pre-processing other than Fourier transform to identify the optimal chord classification system. Conventional guitar chord classification schemes use, for better feature extraction, computationally demanding pre-processing techniques such as stochastic analysis employing a hidden markov model or an acoustic data filtering and hence are burdensome for real-time chord classifications. For this reason, we construct various perceptron neural networks and convolutional neural networks that use only Fourier tranform for data pre-processing and compare them with dataset obtained by playing an electric guitar. According to our comparison, convolutional neural networks provide optimal performance considering both chord classification acurracy and fast processing time. In particular, convolutional neural networks exhibit robust performance even when only small fraction of low frequency components of the data are used.

Living as a nursing college students in Korea

  • Kim, Jung-ae
    • International Journal of Advanced Culture Technology
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    • 제4권3호
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    • pp.20-23
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    • 2016
  • The objective of this study is to examine the experiences of living as a nursing student in Korea in terms of: how their time is spent studying and enjoying college life with relation to their goals. The challenges identified in achieving their goals were also analyzed. This study is underpinned with classical phenomenology. Seven qualitative studies were conducted with nursing students between the ages of 20 and 30. Semi-structured interviews were conducted using audio recordings which were then transcribed verbatim. Phenomenological thematic analysis of data was applied. The findings pivot around three interconnected themes: burden, licensing exams, and finding a stable job. Burden was identified as a temporally existing with getting the license and stable job. Burden consumes a lot of time and effort, which leads participants to burn a lot their energy and mental strength in the process.