• 제목/요약/키워드: Audio information

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오디오 핑거프린팅기반 입체음향 재현 시스템 (Audio Fingerprinting Based Spatial Audio Reproduction System)

  • 류상현;김형국
    • 전자공학회논문지
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    • 제50권12호
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    • pp.217-223
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    • 2013
  • 본 논문에서는 오디오 핑거프린팅 방식과 스파셜 오디오 처리 방식을 결합한 오디오 핑거프린팅 기반 입체음향 재현 시스템을 제안한다. 제안된 시스템에서는 변조스펙트럼 기반의 명확한 오디오 정점 핑거프린트를 이용하여 잡음환경에서 오디오 핑거프린팅 시스템의 검색정확도를 향상시켰으며, 메타데이터로 제공되는 스파셜 오디오 정보는 청취자에게 소리가 실제로 녹음된 공간에서 소리를 듣는 것 같은 느낌을 준다.

An Implementation on the Digital Audio Watermarking for High Quality Audio

  • Park, Jong-Tae;Kang Hyeon RHEE
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -1
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    • pp.454-457
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    • 2002
  • In this paper, we proposed digital audio watermarking algorithm for high quality audio. Nowadays, digital watermark used to confirm to digital copyright protection, not only digital image but also digital audio is active in the digital watermarking study. In this paper, we proposed digital audio watermarking algorithm using psychoacoustics model and MDCT/IMDCT (Modified Discrete Cosine Transform/Inverse Modified Discrete Cosine Transform) for the high quality audio watermark. In the proposed scheme, we used to 441KHz, 128kbps and stereo audio data for audio watermarking algorithm. Audio data is passed by MDCT; watermark can be inserted into the frequency domain with 256,1024 and 2048 interval.

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The Audio Signal Classification System Using Contents Based Analysis

  • Lee, Kwang-Seok;Kim, Young-Sub;Han, Hag-Yong;Hur, Kang-In
    • Journal of information and communication convergence engineering
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    • 제5권3호
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    • pp.245-248
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    • 2007
  • In this paper, we research the content-based analysis and classification according to the composition of the feature parameter data base for the audio data to implement the audio data index and searching system. Audio data is classified to the primitive various auditory types. We described the analysis and feature extraction method for the feature parameters available to the audio data classification. And we compose the feature parameters data base in the index group unit, then compare and analyze the audio data centering the including level around and index criterion into the audio categories. Based on this result, we compose feature vectors of audio data according to the classification categories, and simulate to classify using discrimination function.

MPEG Audio 비트스트림의 효율적 처리를 위한 입력 버퍼에 관한 연구 (A Study on the input butter for efficient processing of MPEG Audio bitstream)

  • 임성룡;공진흥
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(2)
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    • pp.181-184
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    • 2000
  • In this paper, we described a design of the input buffer system for efficiently dealing with MPEG audio bitstream to demux header and side information, audio data. In order to overcome the limitations of fixed-word manipulation in bitstream demuxing, we proposed a new variable length bit retrieval system with FSM sequencer supporting MPEG audio frame format, and serial buffer demuxing audio stream, FIFO circular buffer including header and side information.

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Defending and Detecting Audio Adversarial Example using Frame Offsets

  • Gong, Yongkang;Yan, Diqun;Mao, Terui;Wang, Donghua;Wang, Rangding
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권4호
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    • pp.1538-1552
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    • 2021
  • Machine learning models are vulnerable to adversarial examples generated by adding a deliberately designed perturbation to a benign sample. Particularly, for automatic speech recognition (ASR) system, a benign audio which sounds normal could be decoded as a harmful command due to potential adversarial attacks. In this paper, we focus on the countermeasures against audio adversarial examples. By analyzing the characteristics of ASR systems, we find that frame offsets with silence clip appended at the beginning of an audio can degenerate adversarial perturbations to normal noise. For various scenarios, we exploit frame offsets by different strategies such as defending, detecting and hybrid strategy. Compared with the previous methods, our proposed method can defense audio adversarial example in a simpler, more generic and efficient way. Evaluated on three state-of-the-arts adversarial attacks against different ASR systems respectively, the experimental results demonstrate that the proposed method can effectively improve the robustness of ASR systems.

Frequency-Temporal Filtering for a Robust Audio Fingerprinting Scheme in Real-Noise Environments

  • Park, Man-Soo;Kim, Hoi-Rin;Yang, Seung-Hyun
    • ETRI Journal
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    • 제28권4호
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    • pp.509-512
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    • 2006
  • In a real environment, sound recordings are commonly distorted by channel and background noise, and the performance of audio identification is mainly degraded by them. Recently, Philips introduced a robust and efficient audio fingerprinting scheme applying a differential (high-pass filtering) to the frequency-time sequence of the perceptual filter-bank energies. In practice, however, the robustness of the audio fingerprinting scheme is still important in a real environment. In this letter, we introduce alternatives to the frequency-temporal filtering combination for an extension method of Philips' audio fingerprinting scheme to achieve robustness to channel and background noise under the conditions of a real situation. Our experimental results show that the proposed filtering combination improves noise robustness in audio identification.

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5.1 채널 오디오 신호를 스테레오 신호로 변환하는 디지털 다운믹서 개발 (Development of a Digital Down-mixer to Convert 5.1 Channel Audio Signals to Stereo Signals)

  • 전광섭;정호용;이승요
    • 전기학회논문지
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    • 제62권12호
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    • pp.1764-1770
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    • 2013
  • Use of the 5.1 channel audio signals suitable for the television system is improper for the radio broadcasting system, which uses the stereo audio system. Therefore, it is necessary to develop an audio down-mixer to convert 5.1 multi-channel audio signals to stereo signals for radio broadcasting. In this paper, a development of an audio down-mixer was carried out to convert 5.1 multi-channel audio signals to stereo signals. The down-mixer which was developed can use the audio signals separated from video signals, including sound signals or individual signals provided from 3-channel AES/EBU signals including Left(L), Right(R), Left Surround(Ls), Right Surround(Rs), Center(C) and Low Frequency Effect(Lfe) sounds as mixer inputs.

고음질 오디오를 위한 디지털 오디오 워터마킹에 관한 연구 (A Study on the Audio watermarking for High Quality Digital Audio)

  • 김정태;구대성;이강현
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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    • pp.125-128
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    • 2000
  • In this paper, we proposed the high quality digital audio watermarking algorithm in the frequency domain. The spread spectrum technique is used to encrypted a stream of information by spreading the data as much of the frequency spectrum as possible. It's technique adapt well to data hiding in audio signal. We have used the perceptual model and MDCT/IMDCT for the high qualify digital audio watermarking. The proposed watermark algorithm preserved high quality audio data from watermark signal.

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High Frequency Enhancement of Sound Using Wavelet Transform

  • Yoon Won-Jung;Lee Kang-Kyu;Park Kyu-Sik
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
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    • pp.233-236
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    • 2004
  • This paper proposes new method for the enhancement of nonexistent high frequency spectral contents from low sample rate audio signal. For example, Due to the protocol constraint, the audio bandwidth of MP3 is restricted to 16Khz. Although band-restricted MP3 audio provide savings of storage space and network bandwidth, it suffers a major problem of a loss in high frequency fidelity such as localization, ambient information, and bright nature of audio. This paper provides a new mathematical analysis for the adaptive estimation of the high frequency contents based on the nature of the input low sample rate audio. Proposed method can be worked globally to any kind of audio such as speech and music that are restricted by sampling rate and bandwidth.

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웨이브릿과 마스킹 효과를 이용한 디지털 오디오 워터마킹 (A Digital Audio Watermark Using Wavelet Transform and Masking Effect)

  • Hwang, Won-Young;Kang, Hwan-Il;Han, Seung-Soo;Kim, Kab-Il;Kang, Hwan-Soo
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 컴퓨터소사이어티 추계학술대회논문집
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    • pp.243-246
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    • 2003
  • In this paper, we propose a new digital audio watermarking technique with the wavelet transform. The watermark is embedded by eliminating unnecessary information of audio signal based on human auditory system (HAS). This algorithm is an audio watermarking method, which does not require any original audio information in watermark extraction process. In this paper, the masking effect is used for audio watermarking, that is, post-tempera] masking effect. We construct the window with the synchronization signal and we extract the best frame in the window by using the zero-crossing rate (ZCR) and the energy of the audio signal. The watermark may be extracted by using the correlation of the watermark signal and the portion of the frame. Experimental results show good robustness against MPEG1-layer3 compression and other common signal processing manipulations. All the attacks are made after the D/A/D conversion.

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