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Статті в журналах з теми "Multichannel audio coding":

1

Sarensen, J. A. "High-Fidelity Multichannel Audio Coding [Book Review." IEEE Signal Processing Magazine 22, no. 5 (September 2005): 150–53. http://dx.doi.org/10.1109/msp.2005.1511837.

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2

Noll, Peter, and Davis Pan. "ISO/MPEG Audio Coding." International Journal of High Speed Electronics and Systems 08, no. 01 (March 1997): 69–118. http://dx.doi.org/10.1142/s0129156497000044.

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Анотація:
The Moving Pictures Expert Group within the International Organization of Standardization (ISO/MPEG) has developed, and is presently developing, a series of audiovisual standards. Its audio coding standard MPEG Phase 1 is the first international standard in the field of high quality digital audio compression and has been applied in many areas, both for consumer and professional audio. Typical application areas for digital audio are in the fields of audio production, program distribution and exchange, digital sound broadcasting, digital storage, and various multimedia applications. This paper will describe in some detail the main features of MPEG Phase 1 coders. As a logical further step in digital audio a multichannel audio standard MPEG Phase 2 is being standardized to provide an improved stereophonic image for audio-only applications including teleconferencing and for improved television systems. The status of this standardization process will be covered briefly.
3

Gao, Xue Fei, Guo Yang, Jing Wang, Xiang Xie, and Jing Ming Kuang. "A Backward Compatible Multichannel Audio Compression Method." Advanced Materials Research 756-759 (September 2013): 977–81. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.977.

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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.
4

Faller, C. "Parametric multichannel audio coding: synthesis of coherence cues." IEEE Transactions on Audio, Speech and Language Processing 14, no. 1 (January 2006): 299–310. http://dx.doi.org/10.1109/tsa.2005.854105.

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5

Elfitri, I., Banu Günel, and A. M. Kondoz. "Multichannel Audio Coding Based on Analysis by Synthesis." Proceedings of the IEEE 99, no. 4 (April 2011): 657–70. http://dx.doi.org/10.1109/jproc.2010.2102310.

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6

Dai Yang, Hongmei Ai, C. Kyriakakis, and C. C. J. Kuo. "High-fidelity multichannel audio coding with karhunen-loeve transform." IEEE Transactions on Speech and Audio Processing 11, no. 4 (July 2003): 365–80. http://dx.doi.org/10.1109/tsa.2003.814375.

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7

Mihashi, Tadashi, Tomoya Takatani, Shigeki Miyabe, Yoshimitsu Mori, Hiroshi Saruwatari, and Kiyohiro Shikano. "Compressive coding for multichannel audio signals using independent component analysis." Journal of the Acoustical Society of America 120, no. 5 (November 2006): 3219. http://dx.doi.org/10.1121/1.4788173.

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8

Lee, Yong Ju, Jeongil Seo, Seungkwon Beack, Daeyoung Jang, Kyeongok Kang, Jinwoong Kim, and Jin Woo Hong. "Design and Development of T-DMB Multichannel Audio Service System Based on Spatial Audio Coding." ETRI Journal 31, no. 4 (August 5, 2009): 365–75. http://dx.doi.org/10.4218/etrij.09.0108.0557.

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9

Natkaniec, M., and M. Wagrowski. "High-fidelity Multichannel Audio Coding / OFDM for Wireless Communications Systems [Book Reviews." IEEE Communications Magazine 43, no. 9 (September 2005): 16–20. http://dx.doi.org/10.1109/mcom.2005.1509956.

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10

Jia, Shi Sheng, and Mao Ying Zhou. "A Realization Method of Sound Gathering and Broadcasting System Based on TMS320VC5416DSP." Applied Mechanics and Materials 71-78 (July 2011): 3110–13. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.3110.

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Анотація:
The sound gathering and broadcasting system in which the TMS320VC5416 is as the control center, the TLV320AIC23 as the codec and G.711 as coding standard is presented in this paper. The composition of the system, the design of the hardware circuit and the programming method of the software are proposed. The configuration mode of the Multichannel Buffered Serial Port (McBSP0 and McBSP1) of TMS320VC5416 and that of the control interface and the digital audio interface of the codec chip TLV320AIC23 are determined. The system realizes the storage and transmission of the digit audio signals well and obtains a high grade effect in time, with DSP chip processing the digit audio signals by means of the G.711 code standard.

Дисертації з теми "Multichannel audio coding":

1

Daniel, Adrien. "Spatial Auditory Blurring and Applications to Multichannel Audio Coding." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2011. http://tel.archives-ouvertes.fr/tel-00623670.

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Ce travail se place en contexte de télécommunications, et concerne plus particulièrement la transmission de signaux audio multicanaux. Quatre expériences psychoacoustiques ont été menées de façon à étudier la résolution spatiale du système auditif - également appelée flou de localisation - en présence de sons distracteurs. Il en résulte que le flou de localisation augmente quand ces distracteurs sont présents, mettant en évidence ce que nous appellerons le phénomène de "floutage spatial" auditif. Ces expériences estiment l'effet de plusieurs variables sur le floutage spatial : la fréquence de la source sonore considérée ainsi que celles des sources distractrices, leur niveau sonore, leur position spatiale, et le nombre de sources distractrices. Exceptée la position des sources distractrices, toutes ces variables ont montré un effet significatif sur le floutage spatial. Cette thèse aborde également la modélisation de ce phénomène, de sorte que la résolution spatiale auditive puisse être prédite en fonction des caractéristiques de la scène sonore (nombre de sources présentes, leur fréquence, et leur niveau). Enfin, deux schémas de codage audio multicanaux exploitant ce modèle à des fins de réduction de l'information à transmettre sont proposés : l'un basé sur une représentation paramétrique (downmix + paramètres spatiaux) du signal multicanal, et l'autre sur la représentation Higher-Order Ambisonics (HOA). Ces schémas sont tous deux basés sur l'idée originale d'ajuster dynamiquement la précision de la représentation spatiale du signal multicanal de façon à maintenir les distorsions spatiales résultantes dans le flou de localisation, afin que celles-ci restent indétectables.
2

Gorlow, Stasnislaw. "Reverse audio engineering for active listening and other applications." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00959329.

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This work deals with the problem of reverse audio engineering for active listening. The format under consideration corresponds to the audio CD. The musical content is viewed as the result of a concatenation of the composition, the recording, the mixing, and the mastering. The inversion of the two latter stages constitutes the core of the problem at hand. The audio signal is treated as a post-nonlinear mixture. Thus, the mixture is "decompressed" before being "decomposed" into audio tracks. The problem is tackled in an informed context: The inversion is accompanied by information which is specific to the content production. In this manner, the quality of the inversion is significantly improved. The information is reduced in size by the use of quantification and coding methods, and some facts on psychoacoustics. The proposed methods are applicable in real time and have a low complexity. The obtained results advance the state of the art and contribute new insights.
3

Mahé, Pierre. "Codage ambisonique pour les communications immersives." Thesis, La Rochelle, 2022. http://www.theses.fr/2022LAROS011.

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Cette thèse s’inscrit dans le contexte de l’essor des contenus immersifs. Depuis quelques années, les technologies de captation et de restitution sonore immersive se sont développées de manière importante. Ce nouveau contenu a fait naître le besoin de créer de nouvelles méthodes dédiées à la compression audio spatialisée, notamment dans le domaine de la téléphonie et des services conversationnels. Il existe plusieurs manières de représenter l’audio spatialisé, dans cette thèse nous sommes intéressés à l’ambisonie d’ordre 1. Dans un premier temps, nos travaux ont porté sur la recherche d’une solution pour améliorer le codage multimono. Cette solution consiste en un traitement en amont du codec multimono pour décorréler les signaux des composantes ambisoniques. Une attention particulière a été portée à la garantie de continuité du signal entre les trames et à la quantification des métadonnées spatiales. Dans un second temps, nous avons étudié comment utiliser la connaissance de la répartition de l’énergie du signal dans l’espace, aussi appelée image spatiale, pour créer de nouvelles méthodes de codage. L’utilisation de cette image spatiale a permis d’élaborer deux méthodes de compression. La première approche proposée est basée sur la correction spatiale du signal décodé. Cette correction se base sur la différence entre les images spatiales du signal d’origine et du signal décodés pour atténuer les altérations spatiales. Ce principe a été étendu dans une seconde approche à une méthode de codage paramétrique. Dans une dernière partie de cette thèse, plus exploratoire, nous avons étudié une approche de compression par réseaux de neurones en nous inspirant de modèles de compression d’images par auto-encodeur variationnel
This thesis takes place in the context of the spread of immersive content. For the last couple of years, immersive audio recording and playback technologies have gained momentum and have become more and more popular. New codecs are needed to handle those spatial audio formats, especially for communication applications. There are several ways to represent spatial audio scenes. In this thesis, we focused on First Order Ambisonic. The first part of our research focused on improving multi-monocoding by decorrelated each ambisonic signal component before the multi-mono coding. To guarantee signal continuity between frames, efficient quantization new mechanisms are proposed. In the second part of this thesis, we proposed a new coding concept using a power map to recreate the original spatial image. With this concept, we proposed two compressing methods. The first one is a post-processing focused on limiting the spatial distortion of the decoded signal. The spatial correction is based on the difference between the original and the decoded spatial image. This post-processing is later extended to a parametric coding method. The last part of this thesis presents a more exploratory method. This method studied audio signal compression by neural networks inspired by image compression models using variational autoencoders

Книги з теми "Multichannel audio coding":

1

Kyriakakis, Chris, Dai Tracy Yang, and C. C. Jay Kuo. High-Fidelity Multichannel Audio Coding. Hindawi, 2004.

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2

Chris Kyriakakis, and C.-C. Jay Kuo Dai Tracy Yang. High-Fidelity Multichannel Audio Coding (Second Edition) (EURASIP Book Series on Signal Processing & Communications). 2nd ed. Hindawi Publishing Corporation, 2006.

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3

Yang, dai tracy. High-Fidelity Multichannel Audio Coding (Eurasip Book Series on Signal Processing and Communications, Vol. 1). Hindawi Publishing Corporation, 2004.

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Частини книг з теми "Multichannel audio coding":

1

Mouchtaris, Athanasios, and Panagiotis Tsakalides. "Multichannel Audio Coding for Multimedia Services in Intelligent Environments." In Studies in Computational Intelligence, 103–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78502-6_5.

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2

Iwata, Yasuaki, Tomohiro Nakatani, Takuya Yoshioka, Masakiyo Fujimoto, and Hirofumi Saito. "Maximum A Posteriori Spectral Estimation with Source Log-Spectral Priors for Multichannel Speech Enhancement." In Speech and Audio Processing for Coding, Enhancement and Recognition, 281–317. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1456-2_9.

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3

Stoll, Gerhard, and Peter Noll. "ISO/MPEG-Audio: A Generic Concept for High Quality Audio Coding of Two-channel and 5+1 Multichannel Sound." In Signal Processing of HDTV, 85–96. Elsevier, 1994. http://dx.doi.org/10.1016/b978-0-444-81844-7.50016-4.

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Тези доповідей конференцій з теми "Multichannel audio coding":

1

Yang, Dai, Hongmei Ai, Christos Kyriakakis, and C. C. Jay Kuo. "Embedded high-quality multichannel audio coding." In Photonics West 2001 - Electronic Imaging, edited by Sethuraman Panchanathan, V. Michael Bove, Jr., and Subramania I. Sudharsanan. SPIE, 2001. http://dx.doi.org/10.1117/12.420793.

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2

Jonghwa Lee and Chulhee Lee. "Spatial-temporal multi-channel audio coding." In 2008 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2008. http://dx.doi.org/10.1109/sam.2008.4606895.

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3

Gorlow, Stanislaw, Emanuel A. P. Habets, and Sylvain Marchand. "Multichannel object-based audio coding with controllable quality." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6637710.

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4

Goodwin, Michael M. "Multichannel Matching Pursuit and Applications to Spatial Audio Coding." In 2006 Fortieth Asilomar Conference on Signals, Systems and Computers. IEEE, 2006. http://dx.doi.org/10.1109/acssc.2006.354927.

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5

Yang, Dai, Hongmei Ai, Christos Kyriakakis, and C. C. Jay Kuo. "Exploration of Karhunen-Loeve transform for multichannel audio coding." In Information Technologies 2000, edited by Christopher B. Chinnock. SPIE, 2000. http://dx.doi.org/10.1117/12.411763.

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6

Kirby, D. G. "Subjective testing of MPEG-2 NBC multichannel audio coding." In International Broadcasting Conference (IBC). IEE, 1997. http://dx.doi.org/10.1049/cp:19971316.

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7

Hu, Pingfang, and Li Gao. "Spatial grouping coding for three-dimensional multichannel audio system." In the 7th International Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2808492.2808533.

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8

Yang, Dai, Hongmei Ai, Christos Kyriakakis, and C. C. Jay Kuo. "Adaptive Karhunen-Loeve transform for enhanced multichannel audio coding." In International Symposium on Optical Science and Technology, edited by Mark S. Schmalz. SPIE, 2001. http://dx.doi.org/10.1117/12.449594.

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9

Elfitri, Ikhwana, Doni Nursyam, Fitrilina, and Rahmadi Kurnia. "Encoding Multichannel Audio for Ultra HDTV Based on Spatial Audio Coding with Optimization." In 2018 IEEE Region Ten Symposium (Tensymp). IEEE, 2018. http://dx.doi.org/10.1109/tenconspring.2018.8692024.

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10

Schmidt, W. H. "ISO/MPEG subjective tests on multichannel audio coding systems: statistical analysis." In International Broadcasting Convention - IBC '94. IEE, 1994. http://dx.doi.org/10.1049/cp:19940745.

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