Multichannel Audio Coding Based on Analysis by Synthesis

Elfitri, Ikhwana; Günel, Banu; Kondoz, A.M.

doi:10.1109/jproc.2010.2102310

Cited by 19 publications

(15 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To improve the spatial quality of multichannel spatial audio coding, Elfitri presented a closed-loop encoding system applied on MPEG surround [21]. The closedloop procedure inversely quantized downmix and spatial parameters at the encoder to get decoded signals and then obtained new residual signals between original and decoded signals.…”

Section: Related Workmentioning

confidence: 99%

JND-based spatial parameter quantization of multichannel audio signals

Gao

Wang

et al. 2016

J AUDIO SPEECH MUSIC PROC.

View full text Add to dashboard Cite

In multichannel spatial audio coding (SAC), the accurate representations of virtual sounds and the efficient compressions of spatial parameters are the key to perfect reproduction of spatial sound effects in 3D space. Just noticeable difference (JND) characteristics of human auditory system can be used to efficiently remove spatial perceptual redundancy in the quantization of spatial parameters. However, the quantization step sizes of spatial parameters in current SAC methods are not well correlated with the JND characteristics. It results in either spatial perceptual distortion or inefficient compression. A JND-based spatial parameter quantization (JSPQ) method is proposed in this paper. The quantization step sizes of spatial parameters are assigned according to JND values of azimuths in a full circle. The quantization codebook size of JSPQ was 56.7 % lower than one of the quantization codebooks of MPEG surround. Average bit rate reduction on spatial parameters for standard 5.1-channel signals reached up to approximately 13 % compared with MPEG surround, while preserving comparable subjective spatial quality.

show abstract

Section: Related Workmentioning

confidence: 99%

JND-based spatial parameter quantization of multichannel audio signals

Gao

Wang

et al. 2016

J AUDIO SPEECH MUSIC PROC.

View full text Add to dashboard Cite

show abstract

“…Apart from its primary use in measuring the acoustic power and the sound radiation [1], active intensity has also been used as a basis for sound source localization [4], [5], [6], source separation [7], [8], [9] and spatial audio coding [10], [11]. These tasks require the accurate measurement of acoustic intensity.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Analysis of Open Spherical Microphone Arrays for Acoustic Intensity Measurements

Hacıhabiboğlu

2014

IEEE/ACM Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

Acoustic intensity is a vectorial measure of acoustic energy flow through a given region of interest. Three-dimensional measurement of acoustic intensity requires special microphone array configurations. This paper provides a theoretical analysis of open spherical microphone arrays for the 3-D measurement of acoustic intensity. The calculations of the pressure and the particle velocity components of the sound field inside a closed volume are expressed using the Kirchhoff-Helmholtz integral equation. The conditions which simplify the calculation are identified. This calculation is then constrained to a finite set of microphones positioned at prescribed points on an open sphere. Several open spherical array topologies are proposed. Their magnitude and directional errors and measurement bandwidths are investigated via numerical simulations. A comparison with conventional open-sphere 3-D intensity probes is presented.

show abstract

“…An overview of recent approaches to further reducing this bit rate is provided in [8]. Techniques such as Parametric Stereo (PS) [9], Binaural Cue Coding [10], [11] and the MPEG Surround standard [12], [13] are based on encoding parametric models of spatial sound perception as well as parameters representing mathematical relationships between multichannel loudspeaker signals.…”

mentioning

confidence: 99%

“…Spatially Squeezed Surround Audio Coding (S 3 AC) [18], which is also based on estimating the position of virtual sources, achieves compression by mapping the positions of these sources from their original position in the 360° soundfield to a position in a 60° soundfield as represented by a stereo downmix signal. Compared to the approaches of [10]- [17], this approach does not require the transmission of side information representing the spatial attributes of the soundfield [8], [18].…”

mentioning

confidence: 99%

See 1 more Smart Citation

A General Compression Approach to Multi-Channel Three-Dimensional Audio

Cheng

Ritz

Burnett

et al. 2013

IEEE Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

, "A general compression approach to multi-channel three-dimensional audio," IEEE Transactions on Audio, Speech and Language Processing, vol. 21, (8) pp. 1676-1688, 2013 A general compression approach to multi-channel three-dimensional audio AbstractThis paper presents a technique for low bit rate compression of three-dimensional (3D) audio produced by multiple loudspeaker channels. The approach is based on the time-frequency analysis of the localization of spatial sound sources within the 3D space as rendered by a multi-channel audio signal (in this case 16 channels). This analysis results in the derivation of a stereo downmix signal representing the original 16 channels. Alternatively, a mono-downmix signal with side information representing the location of sound sources within the 3D spatial scene can also be derived. The resulting downmix signals are then compressed with a traditional audio coder, resulting in a representation of the 3D soundfield at bit rates comparable with existing stereo audio coders while maintaining the perceptual quality produced from separate encoding of each channel. © 2006-2012 IEEE.

show abstract

Multichannel Audio Coding Based on Analysis by Synthesis

Cited by 19 publications

References 19 publications

JND-based spatial parameter quantization of multichannel audio signals

JND-based spatial parameter quantization of multichannel audio signals

Theoretical Analysis of Open Spherical Microphone Arrays for Acoustic Intensity Measurements

A General Compression Approach to Multi-Channel Three-Dimensional Audio

Contact Info

Product

Resources

About