Optimal Bit Layering for Scalable Audio Compression Using Objective Audio Quality Metrics

Author(s):  
Srivatsan Kandadai ◽  
Charles D. Creusere
Author(s):  
Teddy Surya Gunawan ◽  
Muhammad Khalif Mat Zain ◽  
Fathiah Abdul Muin ◽  
Mira Kartiwi

<p>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, ALAC, Monkey Audio, True Audio, etc. The IEEE Standard for Advanced Audio Coding (IEEE 1857.2) is a new standard approved by IEEE in 2013 that covers both lossy and lossless audio compression tools. A lot of research has been done on this standard, but this paper will focus more on whether the IEEE 1857.2 lossless audio codec to be a viable alternative to other existing codecs in its current state. Therefore, the objective of this paper is to investigate the codec’s operation as initial measurements performed by researchers show that the lossless compression performance of the IEEE compressor is better than any traditional encoders, while the encoding speed is slower which can be further optimized.</p>


2013 ◽  
Vol 756-759 ◽  
pp. 977-981
Author(s):  
Xue Fei Gao ◽  
Guo Yang ◽  
Jing Wang ◽  
Xiang Xie ◽  
Jing Ming Kuang

This paper proposes a backward-compatible multichannel audio codec based on downmix and upmix operation. The codec represents a multichannel audio input signal with downmixed mono signal and spatial parametric data. The encoding method consists of three parts: spatial temporal analysis of audio signal, compressing multi-channel audio into mono audio and encoding mono signals. The proposed codec combines high audio quality and low parameter coding rate and the method is simpler and more effective than the conventional methods. With this method, its possible to transmit or store multi-channel audio signals as mono audio signals.


Author(s):  
Valmir Dos Santos Nogueira Junior ◽  
Michel Pompeu Tcheou ◽  
Flávio Rainho Ávila

<p class="Standard">The atomic decomposition of signals by algorithm of the class “Matching Pursuit” (MP) has been applied in audio compression. Literature review suggests that, the use of psychoacoustic criteria allows a more compact representation of the signal, without loss of perceived quality. This work presents the implementation of an analysis system by synthesis of audio signals using MP associated with the use of psychoacoustic global masking threshold, inspired by MPEG layer I, as well as Complex Exponential Dictionaries (DEC). For the compression of the signal, we used the optimization of rate-distortion by operational curves, adjusting the Lagrange multiplier. The performance of the compression method for different types of signals is evaluated by an objective measurement standardized by the International Telecommunications Union (ITU), the PEAQ (Perceptual Evaluation of Audio Quality) based on the bit rate per sample, obtaining satisfactory results.</p>


2003 ◽  
Author(s):  
Hamza Ozer ◽  
Ismail Avcibas ◽  
Bulent Sankur ◽  
Nasir D. Memon

2016 ◽  
Vol 6 (7) ◽  
Author(s):  
Nancy E. Dunlap ◽  
◽  
David J. Ballard ◽  
Robert A. Cherry ◽  
Wm. Claiborne Dunagan ◽  
...  

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