Relevant bibliographies by topics / Multichannel audio

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Multichannel audio'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Multichannel audio"

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Ono, Kazuho. "2.Multichannel Audio." Journal of the Institute of Image Information and Television Engineers 68, no. 8 (2014): 604–7. http://dx.doi.org/10.3169/itej.68.604.

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Holbrook, Kyle A., and Michael J. Yacavone. "Multichannel audio reproduction system." Journal of the Acoustical Society of America 82, no. 2 (1987): 728. http://dx.doi.org/10.1121/1.395373.

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Emmett, John. "Metering for Multichannel Audio." SMPTE Journal 110, no. 8 (2001): 532–36. http://dx.doi.org/10.5594/j17765.

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Zhu, Qiushi, Jie Zhang, Yu Gu, Yuchen Hu, and Lirong Dai. "Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (2024): 19768–76. http://dx.doi.org/10.1609/aaai.v38i17.29951.

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Self-supervised speech pre-training methods have developed rapidly in recent years, which show to be very effective for many near-field single-channel speech tasks. However, far-field multichannel speech processing is suffering from the scarcity of labeled multichannel data and complex ambient noises. The efficacy of self-supervised learning for far-field multichannel and multi-modal speech processing has not been well explored. Considering that visual information helps to improve speech recognition performance in noisy scenes, in this work we propose the multichannel multi-modal speech self-s
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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 au
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Martyniuk, Tetiana, Maksym Mykytiuk, and Mykola Zaitsev. "FEATURES OF ANALYSIS OF MULTICHANNEL AUDIO SIGNALSFEATURES OF ANALYSIS OF MULTICHANNEL AUDIO SIGNALS." ГРААЛЬ НАУКИ, no. 2-3 (April 9, 2021): 302–5. http://dx.doi.org/10.36074/grail-of-science.02.04.2021.061.

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The rapid growth of audio content has led to the need to use tools for analysis and quality control of audio signals using software and hardware and modules. The fastest-growing industry is software and programming languages.The Python programming language today has the most operational and visual capabilities for working with sound. When developing programs for computational signal analysis, it provides the optimal balance of high and low-level programming functions. Compared to Matlab or other similar solutions, Python is free and allows you to create standalone applications without the need
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Gunawan, Teddy Surya, and Mira Kartiwi. "Performance Evaluation of Multichannel Audio Compression." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 146. http://dx.doi.org/10.11591/ijeecs.v10.i1.pp146-153.

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<p>In recent years, multichannel audio systems are widely used in modern sound devices as it can provide more realistic and engaging experience to the listener. This paper focuses on the performance evaluation of three lossy, i.e. AAC, Ogg Vorbis, and Opus, and three lossless compression, i.e. FLAC, TrueAudio, and WavPack, for multichannel audio signals, including stereo, 5.1 and 7.1 channels. Experiments were conducted on the same three audio files but with different channel configurations. The performance of each encoder was evaluated based on its encoding time (averaged over 100 times
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Teddy, Surya Gunawan, and Kartiwi Mira. "Performance Evaluation of Multichannel Audio Compression." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 146–53. https://doi.org/10.11591/ijeecs.v10.i1.pp146-153.

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In recent years, multichannel audio systems are widely used in modern sound devices as it can provide more realistic and engaging experience to the listener. This paper focuses on the performance evaluation of three lossy, i.e. AAC, Ogg Vorbis, and Opus, and three lossless compression, i.e. FLAC, TrueAudio, and WavPack, for multichannel audio signals, including stereo, 5.1 and 7.1 channels. Experiments were conducted on the same three audio files but with different channel configurations. The performance of each encoder was evaluated based on its encoding time (averaged over 100 times), data r
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Fujimori, Kazuki, Bisser Raytchev, Kazufumi Kaneda, et al. "Localization of Flying Bats from Multichannel Audio Signals by Estimating Location Map with Convolutional Neural Networks." Journal of Robotics and Mechatronics 33, no. 3 (2021): 515–25. http://dx.doi.org/10.20965/jrm.2021.p0515.

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We propose a method that uses ultrasound audio signals from a multichannel microphone array to estimate the positions of flying bats. The proposed model uses a deep convolutional neural network that takes multichannel signals as input and outputs the probability maps of the locations of bats. We present experimental results using two ultrasound audio clips of different bat species and show numerical simulations with synthetically generated sounds.
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Dong, Yingjun, Neil G. MacLaren, Yiding Cao, et al. "Utterance Clustering Using Stereo Audio Channels." Computational Intelligence and Neuroscience 2021 (September 25, 2021): 1–8. http://dx.doi.org/10.1155/2021/6151651.

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Utterance clustering is one of the actively researched topics in audio signal processing and machine learning. This study aims to improve the performance of utterance clustering by processing multichannel (stereo) audio signals. Processed audio signals were generated by combining left- and right-channel audio signals in a few different ways and then by extracting the embedded features (also called d-vectors) from those processed audio signals. This study applied the Gaussian mixture model for supervised utterance clustering. In the training phase, a parameter-sharing Gaussian mixture model was
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Dissertations / Theses on the topic "Multichannel audio"

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Romoli, Laura. "Advanced application for multichannel teleconferencing audio systems." Doctoral thesis, Università Politecnica delle Marche, 2011. http://hdl.handle.net/11566/242000.

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Al giorno d'oggi si registra un grande interesse verso i sistemi di telecon- ferenza multimediale a seguito della crescente richiesta di comunicazioni effi- cienti e dello sviluppo di tecniche avanzate per il processamento digitale dei segnali. Un sistema di teleconferenza dovrebbe fornire una rappresentazione realistica del campo sonoro e visivo, consentendo una comunicazione natu- rale tra i partecipanti dislocati ovunque nel mondo come fossero nella stessa stanza. In questo contesto, sono stati sviluppati molti sistemi, a partire da applicazioni basate su PC pensate per comunicazioni
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De, Sena Enzo. "Analysis, design and implementation of multichannel audio systems." Thesis, King's College London (University of London), 2013. https://kclpure.kcl.ac.uk/portal/en/theses/analysis-design-and-implementation-of-multichannel-audio-systems(2667506b-f58e-44f1-858a-bcb67d341720).html.

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This thesis is concerned with the analysis, design and implementation of multichannel audio systems. The design objective is to reconstruct a given sound field such that it is perceptually equivalent to the recorded one. A framework for the design of circular microphone arrays is proposed. This framework is based on fitting of psychoacoustic data and enables the design of both coincident and quasi-coincident arrays. Results of formal listening experiments suggest that the proposed methodology performs on a par with state of the art methods, albeit with a more graceful degradation away from the
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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
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George, Sunish. "Objective models for predicting selected multichannel audio quality attributes." Thesis, University of Surrey, 2009. http://epubs.surrey.ac.uk/844426/.

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This thesis discusses the details of research conducted in order to contribute towards the development of a generic model that predicts multichannel audio quality. The review in this thesis evaluated the existing objective models that predict audio quality. It was concluded from the review that most objective models that exists today are not capable of predicting multichannel audio quality in their current form. Therefore, important multichannel audio quality attributes were identified and an attempt was made to predict some of them using features derived from the recordings themselves. The pr
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Martí, Guerola Amparo. "Multichannel audio processing for speaker localization, separation and enhancement." Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/33101.

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This thesis is related to the field of acoustic signal processing and its applications to emerging communication environments. Acoustic signal processing is a very wide research area covering the design of signal processing algorithms involving one or several acoustic signals to perform a given task, such as locating the sound source that originated the acquired signals, improving their signal to noise ratio, separating signals of interest from a set of interfering sources or recognizing the type of source and the content of the message. Among the above tasks, Sound Source localization (
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Belloch, Rodríguez José Antonio. "PERFORMANCE IMPROVEMENT OF MULTICHANNEL AUDIO BY GRAPHICS PROCESSING UNITS." Doctoral thesis, Universitat Politècnica de València, 2014. http://hdl.handle.net/10251/40651.

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Multichannel acoustic signal processing has undergone major development in recent years due to the increased complexity of current audio processing applications. People want to collaborate through communication with the feeling of being together and sharing the same environment, what is considered as Immersive Audio Schemes. In this phenomenon, several acoustic e ects are involved: 3D spatial sound, room compensation, crosstalk cancelation, sound source localization, among others. However, high computing capacity is required to achieve any of these e ects in a real large-scale system,
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Parry, Robert Mitchell. "Separation and Analysis of Multichannel Signals." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19743.

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Music recordings contain the mixed contribution of multiple overlapping instruments. In order to better understand the music, it would be beneficial to understand each instrument independently. This thesis focuses on separating the individual instrument recordings within a song. In particular, we propose novel algorithms for separating instrument recordings given only their mixture. When the number of source signals does not exceed the number of mixture signals, we focus on a subclass of source separation algorithms based on joint diagonalization. Each approach leverages a different form of
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Wille, Joachim Olsen. "Performance of a Multichannel Audio Correction System Outside the Sweetspot. : Further Investigations of the Trinnov Optimizer." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8911.

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<p>This report is a continuation of the student project "Evaluation of TrinnovOptimizer audio reproduction system". It will further investigate theproperties and function of the Trinnov Optimizer, a correction system foraudio reproduction systems. During the student project measurements wereperformed in an anechoic lab to provide information on the functionality andabilities of the Trinnov Optimizer. Massive amounts of data were recorded,and that has also been the foundation of this report. The new work that hasbeen done is by interpreting these results through the use of Matlab. The Optimizer
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Sekiguchi, Kouhei. "A Unified Statistical Approach to Fast and Robust Multichannel Speech Separation and Dereverberation." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263770.

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Gaultier, Clément. "Conception et évaluation de modèles parcimonieux et d'algorithmes pour la résolution de problèmes inverses en audio." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S009/document.

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Dans le contexte général de la résolution de problèmes inverses en acoustique et traitement du signal audio les défis sont nombreux. Pour la résolution de ces problèmes, leur caractère souvent mal posé nécessite de considérer des modèles de signaux appropriés. Les travaux de cette thèse montrent sur la base d'un cadre algorithmique générique polyvalent comment les différentes formes de parcimonie (à l'analyse ou à la synthèse, simple, structurée ou sociale) sont particulièrement adaptées à la reconstruction de signaux sonores dans un cadre mono ou multicanal. Le cœur de
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Books on the topic "Multichannel audio"

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Society, Audio Engineering. AES recommended practice for digital audio engineering: Serial multichannel audio digital interface (MADI). Audio Engineering Society, 1991.

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Grimm, Simon. Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments. Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25152-9.

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Meares, D. J. Evaluations of high quality, multichannel audio codecs carried out on behalf of ISO/IEC MPeg. British Broadcasting Corporation Research and Development Department, 1995.

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

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Grimm, Simon. Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments ). Springer Vieweg, 2019.

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Théberge, Paul, Kyle Devine, and Tom Everrett. Living Stereo: Histories and Cultures of Multichannel Sound. Bloomsbury Academic & Professional, 2015.

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Living stereo: Histories and cultures of multichannel sound. Bloomsbury Academic, 2015.

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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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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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Xie, Bosun, ed. Spatial Sound. Taylor & Francis Group, LLC, 2023. https://doi.org/10.5040/9780367533441.

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Spatial sound is an enhanced and immersive set of audio techniques which provides sound in three-dimensional virtual space. This comprehensive handbook sets out the basic principles and methods with a representative group of applications: sound field and spatial hearing; principles and analytic methods of various spatial sound systems, including two-channel stereophonic sound, and multichannel horizontal and spatial surround sound; Ambisonics; wavefield synthesis; binaural playback and virtual auditory display; recording and synthesis, and storage and transmission of spatial sound signals; and
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Book chapters on the topic "Multichannel audio"

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Toole, Floyd E. "Multichannel Audio." In Sound Reproduction. Routledge, 2017. http://dx.doi.org/10.4324/9781315686424-15.

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Markovich-Golan, Shmulik, Walter Kellermann, and Sharon Gannot. "Multichannel Parameter Estimation." In Audio Source Separation and Speech Enhancement. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119279860.ch11.

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Kameoka, Hirokazu, Hiroshi Sawada, and Takuya Higuchi. "General Formulation of Multichannel Extensions of NMF Variants." In Audio Source Separation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73031-8_5.

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Nugraha, Aditya Arie, Antoine Liutkus, and Emmanuel Vincent. "Deep Neural Network Based Multichannel Audio Source Separation." In Audio Source Separation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73031-8_7.

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Mandel, Michael I., Shoko Araki, and Tomohiro Nakatani. "Multichannel Clustering and Classification Approaches." In Audio Source Separation and Speech Enhancement. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119279860.ch12.

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Ozerov, Alexey, and Hirokazu Kameoka. "Gaussian Model Based Multichannel Separation." In Audio Source Separation and Speech Enhancement. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119279860.ch14.

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Ozerov, Alexey, Cédric Févotte, and Emmanuel Vincent. "An Introduction to Multichannel NMF for Audio Source Separation." In Audio Source Separation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73031-8_4.

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Kornatowski, Eugeniusz. "Monitoring of the Multichannel Audio Signal." In Computational Collective Intelligence. Technologies and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16732-4_32.

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Ito, Nobutaka, Shoko Araki, and Tomohiro Nakatani. "Recent Advances in Multichannel Source Separation and Denoising Based on Source Sparseness." In Audio Source Separation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73031-8_11.

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Pertilä, Pasi, Alessio Brutti, Piergiorgio Svaizer, and Maurizio Omologo. "Multichannel Source Activity Detection, Localization, and Tracking." In Audio Source Separation and Speech Enhancement. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119279860.ch4.

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Conference papers on the topic "Multichannel audio"

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Lee, Dongheon, and Jung-Woo Choi. "DeFT-Mamba: Universal Multichannel Sound Separation and Polyphonic Audio Classification." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10890324.

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Muñoz-Montoro, Antonio J., Marco Olivieri, Mirco Pezzoli, Julio Carabias-Orti, Fabio Antonacci, and Augusto Sarti. "Ray-Space Constrained Multichannel Nonnegative Matrix Factorization for Audio Source Separation." In 2024 32nd European Signal Processing Conference (EUSIPCO). IEEE, 2024. http://dx.doi.org/10.23919/eusipco63174.2024.10715403.

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Ozerov, Alexey, Cagdas Bilen, and Patrick Perez. "Multichannel audio declipping." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7471757.

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Boltze, Thomas, and Leon van de Kerkhof. "MPEG Multichannel Audio in DVB." In SMPTE Australia Conference. IEEE, 1999. http://dx.doi.org/10.5594/m001173.

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Langer, Henrik, and Robert Manzke. "Embedded Multichannel Linux Audiosystem for Musical Applications." In AM '17: Audio Mostly 2017. ACM, 2017. http://dx.doi.org/10.1145/3123514.3123523.

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Leglaive, Simon, Umut Simsekli, Antoine Liutkus, Roland Badeau, and Gael Richard. "Alpha-stable multichannel audio source separation." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952221.

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Lyman, Steve. "Contribution and Distribution of Multichannel Audio." In SMPTE Australia Conference. IEEE, 1999. http://dx.doi.org/10.5594/m001174.

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Reiss, Joshua D. "Intelligent systems for mixing multichannel audio." In 2011 17th International Conference on Digital Signal Processing (DSP). IEEE, 2011. http://dx.doi.org/10.1109/icdsp.2011.6004988.

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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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Thomas, Mark R. P., Nikolay D. Gaubitch, Jon Gudnason, and Patrick A. Naylor. "A Practical Multichannel Dereverberation Algorithm using Multichannel Dypsa and Spatiotemporal Averaging." In 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. IEEE, 2007. http://dx.doi.org/10.1109/aspaa.2007.4392983.

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