Investigation of Lossless Audio Compression using IEEE 1857.2 Advanced Audio Coding

  title={Investigation of Lossless Audio Compression using IEEE 1857.2 Advanced Audio Coding},
  author={Teddy Surya Gunawan and Muhammad Khalif Mat Zain and Fathiah Abdul Muin and Mira Kartiwi},
  journal={Indonesian Journal of Electrical Engineering and Computer Science},
  • T. GunawanM. M. Zain M. Kartiwi
  • Published 1 May 2017
  • Computer Science, Business
  • Indonesian Journal of Electrical Engineering and Computer Science
Audio compression is a method of reducing the space demand and aid transmission of the source file which then can be categorized by lossy and lossless compression. Lossless audio compression was considered to be a luxury previously due to the limited storage space. However, as storage technology progresses, lossless audio files can be seen as the only plausible choice for those seeking the ultimate audio quality experience. There are a lot of commonly used lossless codecs are FLAC, Wavpack… 

Performance Evaluation of Multichannel Audio Compression

A new integrated performance metric was proposed that combines all the three performance metrics of AAC, Ogg Vorbis and Opus and FLAC and found to be the best for lossy compression depends on the channel configuration, which could be used in determining the proper audio format for multichannel audio systems.

Comparison of Entropy Coding mechanism on IEEE1857.2 Lossless Audio Compression Standard

It is concluded that pre-processing block works well to flatten the output at lower predictor order for all the sound types, but works best at improving the residual output for music sound type.

Developing a Dynamic Cluster Quantization based Lossless Audio Compression (DCQLAC)

Experimental results are supported with current state-of-the-art in audio quality analysis (like statistical parameters) and compared with other parameters (encoding time, decoding time, Mean Opinion Score (MOS) and entropy).

Video Quality Assessment through PSNR Estimation for Different Compression Standards

This paper will compare the quality of compressed video signals produced by H.264, Mpeg2 and Mpeg4 encoder based on the values of MSE and PSNR and find the lower the value of M SE, the higher the PSNR.

Optimizing Apple Lossless Audio Codec Algorithm using NVIDIA CUDA Architecture

An implementation of Apple Lossless Audio Codec (ALAC) algorithm by using NVIDIA GPUs Compute Unified Device Architecture (CUDA) Framework and results reveal about 80-90% speedup through CUDA on the identified components over its CPU implementation while saving CPU power consumption.

Designing a novel lossless audio compression technique with the help of optimized graph traversal (LACOGT)

In this paper, a lossless audio encoding technique has been proposed with the help of an optimized graph traversal and its performance is further enhanced by applying basic principles of Huffman

Analisis Perbandingan Kompresi Suara Menggunakan Principal Component Analysis dan Transformasi Wavelet

The Principal Component Analysis algorithm can be better used for audio compression than the level 1 of Symlet Wavelet Transformation.

Audio compression using transforms and high order entropy encoding

The simulation results appear the efficiency of these combined transforms when using LZW within the domain of data compression and show a remarkable reduction in audio file size with good fidelity.



Advanced Audio Compression For Lossless Audio Coding Using Ieee 1857.2

This project presents the algorithms for lossless audio coding communication, the higher efficiency of this standard and other assets such as compression ratio, encoding and decoding speed of thisStandard.

Lossless audio compression in the new IEEE Standard for Advanced Audio Coding

  • H. HuangH. ShuR. Yu
  • Engineering, Computer Science
    2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2014
The lossless audio compression tool is presented, which utilizes a pre-processing procedure for flattening the amplitude envelop of linear prediction residue, and an arithmetic coder that adopts a scaled probability template.

Methods of sound data compression — Comparison of different standards

  • Norbert NowakW. Zabierowski
  • Computer Science
    2011 11th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM)
  • 2011
The following article is about the methods of sound data compression and uses Adobe Audition 3.0 software and computer program of the sound compression system from manufacturers' side to compare methods.

Implementing a Novel Approach an Convert Audio Compression to Text Coding via Hybrid Technique

This study considered the application of an audio compression method by using text coding where audio compression represented via convert audio file to text file for reducing the time to data transfer by communication channel.

Real-time advanced speech enhancement using low-power, fixed-point hardware

Three speech enhancement algorithms were implemented: the FIR filtering, the adaptive line enhancement, and the spectral subtraction, being a frequency-domain algorithm that utilizes the FFT co-processor available in the TMS320C5535 chip.

Linear Prediction Analysis

This project aims at Implementation of the Levinson-Durbin algorithm to analyze the four sound files and to compare the predictability of sounds from animals and different languages.

Lossless audio compression in IEEE 1857.2

  • Standard For Advanced Audio Coding
  • 2015

Lossless audio compression in IEEE 1857.2 Standard For Advanced Audio Coding

  • 2015