• Title/Summary/Keyword: audio coding

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Dual-Domain Connection Scheme for HE-AAC and MPEG Surround

  • Pang, Hee-Suk
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.1E
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    • pp.29-34
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    • 2009
  • MPEG4 High Efficiency Advanced Audio Coding (HE-AAC) and MPEG Surround are one of the most efficient combinations for low bit rate multi-channel audio coding. Based on the fact that these two codecs have identical quadrature mirror filter (QMF) analysis and synthesis structures, we propose a dual-domain connection scheme for the codecs. Specifically two time-domain connection methods are analyzed and compared to the QMF subband-domain connection method. Experimental results show that both the time-domain connection methods cause no subjective sound quality degradation compared to the QMF subband-domain connection method, which verifies that one can select either of them depending on application scenarios.

A Lossless and Lossy Audio Compression using Prediction Model and Wavelet Transform

  • Park, Se-Yil;Park, Se-Hyoung;Lim, Dae-Sik;Jaeho Shin
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.2063-2066
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    • 2002
  • In this paper, we propose a structure far lossless audio coding method. Prediction model is used in the wavelet transform domain. After DWT, wavelet coefficients is quantized and decorrelated by prediction modeling. The DWT can be constructed to critical bands. We can get a lower data rate representation of audio signal which has a good quality like the result of perceptual coding. Then the prediction errors are efficiently coded by the Golomb-coding method. The prediction coefficients are fixed for reducing the computational burden when we find prediction coefficients.

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Research on Open Source Encoding Technology for MPEG Unified Speech and Audio Coding (MPEG 통합 음성/오디오 코덱을 위한 오픈 소스 부호화 기술에 관한 연구)

  • Song, Jeongook;Lee, Joonil;Kang, Hong-Goo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.1
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    • pp.86-96
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    • 2013
  • Unified Speech and Audio Coding (USAC) is the speech/audio codec with the best quality, approved on Final Draft International Standard (FDIS) at MPEG meeting in 2011. Since MPEG conventionally standardizes only the decoder, it is not easy to study on the encoder technologies. Furthermore, Reference Model(RM) shows extremely poor performance. To solve these problems, the open source project(JAME) proposes the methods to make the improved performance of main encoder technologies in USAC. Especially, this paper introduces the encoder modules: the signal classifier for selective operation between two coders, the psychoacoustic model in frequency domain, and window transition technology. Finally, the results of verification test for FDIS and the performance of Common Encoder are appended.

An Audio Coding Technique Employing the Inter-channel Phase Difference Skip (채널 간 위상차 파라미터 생략 기법을 이용한 오디오 부호화)

  • Kim, Hyun-Hwi;Kim, Rin-Chul
    • Journal of Broadcast Engineering
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    • v.21 no.3
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    • pp.369-379
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    • 2016
  • This paper deals with an efficient method for skipping inter-channel phase differences (IPD) in the MPEG surround of the unified speech and audio coding (USAC). Based on the psycho-acoustic sensitivity on the IPD, we estimate a threshold on IPD, below which we can not notice degradation in spatial cue. We propose an IPD skip method, in which any IPDs within the threshold are set to zero and are not transmitted. The proposed IPD skip method gives about 38% savings in terms of bit amount for IPD. Nevertheless, in the MUSHRA test, the proposed method does not show any noticeable degradation in the decoded audio quality.

Implementation and evaluation of stereo audio codec using perceptual coding (지각 부호화를 이용한 스테레요 오디오 코덱의 구현 및 음질 평가)

  • 차경환;장대영;홍진우;김천덕
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.4
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    • pp.156-163
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    • 1996
  • In this paper, we described the implementation and the sound quality assessment of a real-time stereo audio codec using TMS320C40 DSP (digital signal processing) chip for low bitrte and high quality audio. We implemented hardware and software in order to overcome a real-time processing problem of audio compression algorithm that can be produced by largely recursive computing and complexity of the process. We have studied five types of distortion that can be produced by perceptual coding and the codec was evaluated by eight test musics that are selected in SQAM (sound quality assessment material) 422-2-4-2 produced by EBU (european broadcast union). The subjective listening tests were carried out on the codec quality and preformance by double blind method in a listening room with eleven listeners. As a result, 5 grade-impairment scale was scored under minus one and the codec quality was evaluated to be perceptible, but not annoying.

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Audio Signal Format and Coding Method for Ultra High Definition Television (UHDTV) (초고선명 방송을 위한 오디오 포맷 및 부호화 기법)

  • Seo, Jeong-Il;Kang, Kyeong-Ok
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.7
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    • pp.580-588
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    • 2009
  • In this paper, we describe technical trends, standard activities, and upcoming issues relating on UHDTV audio, which requires high quality realistic sound. We also propose a proper solution to it for domestic broadcasting and telecommunication environments.

Design of a Lossless Audio Coding Using Cholesky Decomposition and Golomb-Rice Coding (콜레스키 분해와 골롬-라이스 부호화를 이용한 무손실 오디오 부호화기 설계)

  • Cheong, Cheon-Dae;Shin, Jae-Ho
    • Journal of Korea Multimedia Society
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    • v.11 no.11
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    • pp.1480-1490
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    • 2008
  • Design of a linear predictor and matching of an entropy coder is the art of lossless audio coding. In this paper, we use the covariance method and the Choleskey decomposition for calculating linear prediction coefficients instead of the autocorreation method and the Levinson-Durbin recursion. These results are compared to the polynomial predictor. Both of them, the predictor which has small prediction error is selected. For the entropy coding, we use the Golomb-Rice coder using the block-based parameter estimation method and the sequential adaptation method with LOCO-land RLGR. The proposed predictor and the block-based parameter estimation have $2.2879%{\sim}0.3413%$ improved compression ratios compared to FLAC lossless audio coder which use the autocorrelation method and the Levinson-Durbin recursion. The proposed predictor and the LOCO-I adaptation method could improved by $2.2879%{\sim}0.3413%$. But the proposed predictor and the RLGR adaptation method got better results with specific signals.

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Implementation of a 16-Bit Fixed-Point MPEG-2/4 AAC Decoder for Mobile Audio Applications

  • Kim, Byoung-Eul;Hwang, Sun-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.3C
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    • pp.240-246
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    • 2008
  • An MPEG-2/4 AAC decoder on 16-bit fixed-point processor is presented in this paper. To meet audio quality criteria, despite small word length, special design methods for 16-bit foxed-point AAC decoder were devised. This paper presents particular algorithms for 16-bit AAC decoding. We have implemented an efficient AAC decoder using the proposed algorithms. Audio contents can be replayed in the decoder without quality degradation.

High Quality Audio Coder Using a Wavelet Packet Decomposition (웨이브렛 패킷을 이용한 고음질 오디오 부호화)

  • 안광호;정전대;신재호
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.712-715
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    • 1999
  • In this paper we propose high quality audio coding algorithm using psychoacoustic modelling and the adaptive wavelet Packet decomposition. The bit allocation scheme exploits the remnants of temporal correlations that exist in the wavelet packet coefficients by SPIHT. The proposed algorithm achieve almost transparent coding of monophonic compact disk(CD) quality signals at about 44 kbps.

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A Design of Hybrid Lossless Audio Coder (Hybrid 무손실 오디오 부호화기의 설계)

  • 박세형;신재호
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.6
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    • pp.253-260
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    • 2004
  • This paper proposes a novel algorithm for hybrid lossless audio coding, which employs an integer wavelet transform and a linear prediction model. The proposed algorithm divides the input signal into flames of a proper length, decorrelates the framed data using the integer wavelet transform and linear prediction and finally entropy-codes the frame data. In particular, the adaptive Golomb-Rice coding method used for the entropy coding selects an optimal option which gives the best compression efficiency. Since the proposed algorithm uses integer operations, it significantly improves the computation speed in comparison with an algorithm using real or floating-point operations. When the coding algorithm is implemented in hardware, the system complexity as well as the power consumption is remarkably reduced. Finally, because each frame is independently coded and is byte-aligned with respect to the frame header, it is convenient to move, search, and edit the coded, compressed data.