Bibliografie tematiche / Ad hoc microphone arrays

Letteratura scientifica selezionata sul tema "Ad hoc microphone arrays"

Autore: Grafiati

Pubblicato: 8 giugno 2024

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Articoli di riviste sul tema "Ad hoc microphone arrays":

Liaquat, Muhammad Usman, Hafiz Suliman Munawar, Amna Rahman, Zakria Qadir, Abbas Z. Kouzani e M. A. Parvez Mahmud. "Sound Localization for Ad-Hoc Microphone Arrays". Energies 14, n. 12 (10 giugno 2021): 3446. http://dx.doi.org/10.3390/en14123446.

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Sound localization is a field of signal processing that deals with identifying the origin of a detected sound signal. This involves determining the direction and distance of the source of the sound. Some useful applications of this phenomenon exists in speech enhancement, communication, radars and in the medical field as well. The experimental arrangement requires the use of microphone arrays which record the sound signal. Some methods involve using ad-hoc arrays of microphones because of their demonstrated advantages over other arrays. In this research project, the existing sound localization methods have been explored to analyze the advantages and disadvantages of each method. A novel sound localization routine has been formulated which uses both the direction of arrival (DOA) of the sound signal along with the location estimation in three-dimensional space to precisely locate a sound source. The experimental arrangement consists of four microphones and a single sound source. Previously, sound source has been localized using six or more microphones. The precision of sound localization has been demonstrated to increase with the use of more microphones. In this research, however, we minimized the use of microphones to reduce the complexity of the algorithm and the computation time as well. The method results in novelty in the field of sound source localization by using less resources and providing results that are at par with the more complex methods requiring more microphones and additional tools to locate the sound source. The average accuracy of the system is found to be 96.77% with an error factor of 3.8%.

ONO, Nobutaka, LE TRUNG Kien, Shigeki MIYABE e Shoji MAKINO. "Ad-hoc Microphone Array". IEICE ESS Fundamentals Review 7, n. 4 (2014): 336–47. http://dx.doi.org/10.1587/essfr.7.336.

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Himawan, I., I. McCowan e S. Sridharan. "Clustered Blind Beamforming From Ad-Hoc Microphone Arrays". IEEE Transactions on Audio, Speech, and Language Processing 19, n. 4 (maggio 2011): 661–76. http://dx.doi.org/10.1109/tasl.2010.2055560.

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Hahmann, Manuel, Efren Fernandez-Grande, Henrry Gunawan e Peter Gerstoft. "Sound source localization using multiple ad hoc distributed microphone arrays". JASA Express Letters 2, n. 7 (luglio 2022): 074801. http://dx.doi.org/10.1121/10.0011811.

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Sound source localization is crucial for communication and sound scene analysis. This study uses direction-of-arrival estimates of multiple ad hoc distributed microphone arrays to localize sound sources in a room. An affine mapping between the independent array estimates and the source coordinates is derived from a set of calibration points. Experiments show that the affine model is sufficient to locate a source and can be calibrated to physical dimensions. A projection of the local array estimates increases localization accuracy, particularly further away from the calibrated region. Localization tests in three dimensions compare the affine approach to a nonlinear neural network.

Tavakoli, Vincent Mohammad, Jesper Rindom Jensen, Mads Graecboll Christensen e Jacob Benesty. "A Framework for Speech Enhancement With Ad Hoc Microphone Arrays". IEEE/ACM Transactions on Audio, Speech, and Language Processing 24, n. 6 (giugno 2016): 1038–51. http://dx.doi.org/10.1109/taslp.2016.2537202.

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Liaquat, Muhammad Usman, Hafiz Suliman Munawar, Amna Rahman, Zakria Qadir, Abbas Z. Kouzani e M. A. Parvez Mahmud. "Localization of Sound Sources: A Systematic Review". Energies 14, n. 13 (29 giugno 2021): 3910. http://dx.doi.org/10.3390/en14133910.

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Sound localization is a vast field of research and advancement which is used in many useful applications to facilitate communication, radars, medical aid, and speech enhancement to but name a few. Many different methods are presented in recent times in this field to gain benefits. Various types of microphone arrays serve the purpose of sensing the incoming sound. This paper presents an overview of the importance of using sound localization in different applications along with the use and limitations of ad-hoc microphones over other microphones. In order to overcome these limitations certain approaches are also presented. Detailed explanation of some of the existing methods that are used for sound localization using microphone arrays in the recent literature is given. Existing methods are studied in a comparative fashion along with the factors that influence the choice of one method over the others. This review is done in order to form a basis for choosing the best fit method for our use.

Bertrand, Alexander, Simon Doclo, Sharon Gannot, Nobutaka Ono e Toon van Waterschoot. "Special issue on wireless acoustic sensor networks and ad hoc microphone arrays". Signal Processing 107 (febbraio 2015): 1–3. http://dx.doi.org/10.1016/j.sigpro.2014.10.001.

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Taghizadeh, Mohammad J., Philip N. Garner e Hervé Bourlard. "Enhanced diffuse field model for ad hoc microphone array calibration". Signal Processing 101 (agosto 2014): 242–55. http://dx.doi.org/10.1016/j.sigpro.2014.02.012.

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Taghizadeh, Mohammad J., Reza Parhizkar, Philip N. Garner, Hervé Bourlard e Afsaneh Asaei. "Ad hoc microphone array calibration: Euclidean distance matrix completion algorithm and theoretical guarantees". Signal Processing 107 (febbraio 2015): 123–40. http://dx.doi.org/10.1016/j.sigpro.2014.07.016.

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Pertila, Pasi, Matti S. Hamalainen e Mikael Mieskolainen. "Passive Temporal Offset Estimation of Multichannel Recordings of an Ad-Hoc Microphone Array". IEEE Transactions on Audio, Speech, and Language Processing 21, n. 11 (novembre 2013): 2393–402. http://dx.doi.org/10.1109/taslp.2013.2286921.

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Più fonti

Tesi sul tema "Ad hoc microphone arrays":

Himawan, Ivan. "Speech recognition using ad-hoc microphone arrays". Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/34461/1/Ivan_Himawan_Thesis.pdf.

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While close talking microphones give the best signal quality and produce the highest accuracy from current Automatic Speech Recognition (ASR) systems, the speech signal enhanced by microphone array has been shown to be an effective alternative in a noisy environment. The use of microphone arrays in contrast to close talking microphones alleviates the feeling of discomfort and distraction to the user. For this reason, microphone arrays are popular and have been used in a wide range of applications such as teleconferencing, hearing aids, speaker tracking, and as the front-end to speech recognition systems. With advances in sensor and sensor network technology, there is considerable potential for applications that employ ad-hoc networks of microphone-equipped devices collaboratively as a virtual microphone array. By allowing such devices to be distributed throughout the users’ environment, the microphone positions are no longer constrained to traditional fixed geometrical arrangements. This flexibility in the means of data acquisition allows different audio scenes to be captured to give a complete picture of the working environment. In such ad-hoc deployment of microphone sensors, however, the lack of information about the location of devices and active speakers poses technical challenges for array signal processing algorithms which must be addressed to allow deployment in real-world applications. While not an ad-hoc sensor network, conditions approaching this have in effect been imposed in recent National Institute of Standards and Technology (NIST) ASR evaluations on distant microphone recordings of meetings. The NIST evaluation data comes from multiple sites, each with different and often loosely specified distant microphone configurations. This research investigates how microphone array methods can be applied for ad-hoc microphone arrays. A particular focus is on devising methods that are robust to unknown microphone placements in order to improve the overall speech quality and recognition performance provided by the beamforming algorithms. In ad-hoc situations, microphone positions and likely source locations are not known and beamforming must be achieved blindly. There are two general approaches that can be employed to blindly estimate the steering vector for beamforming. The first is direct estimation without regard to the microphone and source locations. An alternative approach is instead to first determine the unknown microphone positions through array calibration methods and then to use the traditional geometrical formulation for the steering vector. Following these two major approaches investigated in this thesis, a novel clustered approach which includes clustering the microphones and selecting the clusters based on their proximity to the speaker is proposed. Novel experiments are conducted to demonstrate that the proposed method to automatically select clusters of microphones (ie, a subarray), closely located both to each other and to the desired speech source, may in fact provide a more robust speech enhancement and recognition than the full array could.

Gergen, Sebastian [Verfasser], Rainer [Akademischer Betreuer] Martin e Simon [Akademischer Betreuer] Doclo. "Classification of audio sources using ad-hoc microphone arrays / Sebastian Gergen. Gutachter: Rainer Martin ; Simon Doclo". Bochum : Ruhr-Universität Bochum, 2016. http://d-nb.info/1089006322/34.

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Furnon, Nicolas. "Apprentissage profond pour le rehaussement de la parole dans les antennes acoustiques ad-hoc". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0277.

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Un grand nombre d’appareils que nous utilisons au quotidien embarque un ou plusieurs microphones afin de rendre possible leur utilisation par commande vocale. Le réseau de microphones que l’on peut former avec ces appareils est ce qu’on appelle une antenne acoustique ad-hoc (AAAH). Une étape de rehaussement de la parole est souvent appliquée afin d’optimiser l’exécution des commandes vocales. Pour cela, les AAAH, de par leur flexibilité d’utilisation, leur large étendue spatiale et la diversité de leurs enregistrements, offrent un grand potentiel. Ce potentiel est néanmoins difficilement exploitable à cause de la mobilité des appareils, leur faible puissance et les contraintes en bande passante. Ceslimites empêchent d’utiliser les algorithmes de rehaussement de la parole « classiques » qui reposent sur un nœud de fusion et requièrent de fortes puissances de calcul.Cette thèse propose de rallier le domaine de l’apprentissage profond à celui des AAAH, en conciliant la puissance de modélisation des réseaux de neurones (RN) à la flexibilité d’utilisation des AAAH. Pour cela, nous présentons un système distribué de rehaussement de la parole. Il est distribué en cela que la contrainte d’un centre de fusion est levée. Des signaux dits compressés, échangés entre les nœuds, permettent de véhiculer l’information spatiale tout en réduisant la consommation en bande passante. Des RN sont utilisés afin d’estimer les coefficients d’un filtre de Wiener multicanal. Une analyse empirique détaillée de ce système est conduite à la fois sur données synthétiques et sur données réelles afin de valider son efficacité et de mettre en évidence l’intérêt d’utiliser conjointement des RN et des algorithmes distribués classiques de rehaussement de la parole. Nous montrons ainsi que notre système obtient des performances équivalentes à celles de l’état de l’art, tout en étant plus flexible et en réduisant significativement la complexité algorithmique.Par ailleurs, nous développons notre solution pour l’adapter à des conditions d’utilisation propres aux AAAH. Nous étudions son comportement lorsque le nombre d’appareils de l’AAAH varie, et nous comparons l’influence de deux mécanismes d’attention, l’un d’attention spatiale et l’autre d’auto-attention. Les deux mécanismes d’attention rendent notre système résilient à un nombre variable d’appareils et les poids du mécanisme d’auto-attention révèlent l’utilité de l’information convoyée par chaque signal. Nous analysons également le comportement de notre système lorsque les signaux des différents appareils sont désynchronisés. Nous proposons une solution pour améliorer les performances de notre système en conditions asynchrones, en présentant un autre mécanisme d’attention. Nous montrons que ce mécanisme d’attention permet de retrouver un ordre de grandeur du décalage d’horloge entre les appareils d’une AAAH. Enfin, nous montrons que notre système est une solution viable pour la séparation de sources de parole. Même avec des RN d’architecture simple, il est capable d’exploiter efficacement l’information spatiale enregistrée par tous les appareils d’une AAAH dans une configuration typique de réunion
More and more devices we use in our daily life are embedded with one or more microphones so that they can be voice controlled. Put together, these devices can form a so-called ad-hoc microphone array (AHMA). A speech enhancement step is often applied on the recorded signals to optimise the execution of the voice commands. To this effect, AHMAs are of high interest because of their flexible usage, their wide spatial coverage and the diversity of their recordings. However, it is challenging to exploit the potential of mbox{AHMAs} because devices that compose them may move and have a limited power and bandwidth capacity. Because of these limits, the speech enhancement solutions deployed in ``classic'' microphone arrays, relying on a fusion center and high processing loads, cannot be afforded.This thesis combines the modelling power of deep neural networks (DNNs) with the flexibility of use of AHMAs. To this end, we introduce a distributed speech enhancement system, which does not rely on a fusion center. So-called compressed signals are sent among the nodes and convey the spatial information recorded by the whole AHMA, while reducing the bandwidth requirements. DNNs are used to estimate the coefficients of a multichannel Wiener filter. We conduct an empirical analysis of this sytem, both on synthesized and real data, in order to validate its efficiency and to highlight the benefits of jointly using DNNs and distributed speech enhancement algorithms. We show that our system performs comparatively well compared with a state-of-the-art solution, while being more flexible and significantly reducing the computation cost.Besides, we develop our solution to adapt it to the typical usage conditions of mbox{AHMAs}. We study its behaviour when the number of devices in the AHMA varies. We introduce and compare a spatial attention mechanism and a self-attention mechanism. Both mechanisms make our system robust to a varying number of devices. We show that the weights of the self-attention mechanism reveal the utility of the information carried by each signal.We also analyse our system when the signals recorded by different devices are not synchronised. We propose a solution to improve its performance in such conditions by introducing a temporal attention mechanism. We show that this mechanism can help estimating the sampling time offset between the several devices of the AHMA.Lastly, we show that our system is also efficient for source separation. It can efficiently process the spatial information recorded by the whole AHMA in a typical meeting scenario and alleviate the needs of a complex DNN architecture

Dyberg, Karin, e Linda Farman. "Spatial TDMA in Ad Hoc Networks with Antenna Arrays". Thesis, Linköping University, Department of Science and Technology, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1104.

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In modern military operations the requirements of transmitting large amounts of information have increased substantially during the last decade. This increases the demand for high-capacity radio networks. It is also very important that military decisions are made on recent and correct information and this implies that low and known delays are required. The existing military radio ommunications, within the Swedish army, do not meet the requirements for capacity and delay.

We have investigated how the capacity and average delay can be improved in an Ad Hoc network with STDMA by using antenna arrays. The study is based on different antenna combinations consistingof single isotropic antenna element, beam steering and adaptive beamforming. We have also studied how the number of antenna elements, the terrain, and an increased connectivity due to the antenna arrays_affects the performance measurements.

The study shows that the capacity is improved with up to 1200%, and the average delays are decreased when using antenna arrays instead of single isotropic antenna elements. Depending on the beamforming combination used the capacity gain and average delay reduction will differ. The way of using the antenna array also affects the capacity gain and average delay. The capacity gain is higher when the antenna array is used not only to suppress and decrease interferences, but also to increase the connectivity.

The study also shows that the capacity gain is higher when using more antenna elements for a network with a high number of links, than with fewer. The benefit from antenna arrays is higher in a flat terrain than in a rough.

Krishnamurthy, Siddhartha. "Peak Sidelobe Level Distribution Computation for Ad Hoc Arrays using Extreme Value Theory". Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11300.

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Extreme Value Theory (EVT) is used to analyze the peak sidelobe level distribution for array element positions with arbitrary probability distributions. Computations are discussed in the context of linear antenna arrays using electromagnetic energy. The results also apply to planar arrays of random elements that can be transformed into linear arrays.
Engineering and Applied Sciences

Fahmy, Nader S. Todd Terence D. "Ad hoc networks with power-controlled multi-antenna systems: MAC protocols and multihop relaying applications". *McMaster only, 2005.

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Thanayankizil, Lakshmi V. "Opportunistic large array concentric routing algorithm (OLACRA) for upstream routing in wireless sensor networks". Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26672.

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Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.
Committee Chair: Ingram, Mary Ann; Committee Member: Blough, Douglas; Committee Member: Sivakumar, Raghupathy. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Thanayankizil, Lakshmi. "Opportunistic large array (OLA)-based routing for sensor and adhoc wireless networks". Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50374.

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An Opportunistic Large Array (OLA) is a form of cooperative diversity in which a large group of simple, inexpensive relays operate without any mutual coordination, but naturally fire together in response to the energy received from a single source or another OLA. The main contributions of this thesis are the introduction of two OLA-based routing protocols: OLA Concentric Routing Algorithm (OLACRA), which is an upstream routing algorithm suitable for static wireless sensor networks (WSNs), and OLA Routing On-Demand (OLAROAD), which is a robust reactive routing scheme suitable for mobile ad hoc networks (MANETs). In fixed multi-hop wireless sensor networks with a single sink, where energy conservation is often a concern, simulations of the new algorithms show as much as 80% of the transmit energy required to broadcast data can be saved, relative to existing OLA-based broadcasting approaches. In MANETs, where robustness of the routes is an important performance indicator, OLAROAD-based cooperative routes last much longer compared to their state-of-art multi-hop non-cooperative transmission (CT)-based counterparts. However, OLACRA and OLAROAD have higher node participation, and thereby lower throughput, in comparison with the non-CT schemes. To improve the throughput, and thereby bandwidth utilization, the properties of uplink OLAs and their suppression regions are carefully studied. Based on the observations, Hop-Optimized OLACRA (HOLA), which is a variant of OLACRA, and has the maximum bandwidth utilization amongst all the OLA unicast schemes studied, is proposed. HOLA routes have bandwidth utilization comparable to non-CT schemes, but a much lower (~10 dB less) transmit power per node. The last section of this thesis treats the MAC design for OLA-based networks. In contrast to non-CT networks, a 802.11-based RTS/CTS MAC scheme is shown to reduce the reliability in OLA unicast schemes. A distributed cluster-head-based MAC scheme for channel reservation and OLA Size Adaptation Mechanism for link repair/maintenance are proposed for OLA-based networks. The performances of these protocols are shown to be comparable to a non-CT multihop scheme using the RTS/CTS/DATA/ACK handshake-based link layer design.

Buchanan, Kristopher Ryan. "A Study Of Aperiodic (Random) Arrays of Various Geometries". Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9415.

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The use of wireless communication techniques and network centric topologies for portable communication networks and platforms makes it important to investigate new distributed beamforming techniques. Platforms such as micro air vehicles (MAVs), unattended ground sensors (UGSs), and unpiloted aerial vehicles (UAVs) can all benefit from advances in this area by enabling advantages in stealth, enhanced survivability, and maximum maneuverability. Collaborative beamforming is an example of a new technique to utilize these systems which uses a randomly distributed antenna array with a fitting phase coefficient for the elements. In this example, the radiated signal power of each element is coherently added in the far-field region of a specified target direction with net destructive interference occurring in all other regions to suppress sidelobe behavior. A wide variety of topologies can be used to confine geometrically these mobile random arrays for analysis. The distribution function for these topologies must be able to generalize the randomness within the geometry. Gaussian and Uniform distributions are investigated in this analysis, since they provide a way to calculate the statistically averaged beampattern for linear, planar (square and circular), and volumetric (cubical, cylindrical, and spherical) geometries. They are also of practical interest since the impact of array topology on the beampattern can typically be described in closed form. A rigorous analysis is presented first for disc-shaped topologies to motivate the discussion on random array properties and provide several new insights into their behavior. The analyses of volumetric geometries which are of interest to this work are drawn from this planar topology to provide a tractable and coherent discussion on the properties of more complex geometries. This analysis considers Normal and Gaussian distributed array element populations to derive the average beampattern, sidelobe behavior, beamwidth, and directivity. The beampattern is also examined in a similar manor for circular and spherical arrays with a truncated Gaussian distribution. A summary of the random array analysis and its results concludes this thesis.

Capitoli di libri sul tema "Ad hoc microphone arrays":

Fahmy, Nader S., e Terence D. Todd. "Media Access Control for Ad Hoc Networks with Adaptive Antenna Arrays". In Adaptive Antenna Arrays, 536–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05592-2_30.

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Amilon, Jesper, Zafer Esen, Dilian Gurov, Christian Lidström e Philipp Rümmer. "Automatic Program Instrumentation for Automatic Verification". In Computer Aided Verification, 281–304. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37709-9_14.

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AbstractIn deductive verification and software model checking, dealing with certain specification language constructs can be problematic when the back-end solver is not sufficiently powerful or lacks the required theories. One way to deal with this is to transform, for verification purposes, the program to an equivalent one not using the problematic constructs, and to reason about its correctness instead. In this paper, we propose instrumentation as a unifying verification paradigm that subsumes various existing ad-hoc approaches, has a clear formal correctness criterion, can be applied automatically, and can transfer back witnesses and counterexamples. We illustrate our approach on the automated verification of programs that involve quantification and aggregation operations over arrays, such as the maximum value or sum of the elements in a given segment of the array, which are known to be difficult to reason about automatically. We implement our approach in the MonoCera tool, which is tailored to the verification of programs with aggregation, and evaluate it on example programs, including SV-COMP programs.

Dyadyuk, Val, Xiaojing Huang, Leigh Stokes, Joseph Pathikulangara, Andrew R., Nasiha Nikolic, John D. e Y. Jay. "Adaptive Antenna Arrays for Ad-Hoc Millimetre-Wave Wireless Communications". In Advanced Trends in Wireless Communications. InTech, 2011. http://dx.doi.org/10.5772/16000.

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Beato, Miguel, Reyes Candau, Sebastian Chávez, Christian Möws, e Mathias Truss. "Role of a positioned nucleosome in constitutive repression and hormone induction of the MMTV promoter". In Nuclear Organization, Chromatin Structure, and Gene Expression, 19–39. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780198549239.003.0002.

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Abstract It seems obvious that the packaging and condensation of eukaryotic DNA in chromatin within the cell nucleus should represent an obstacle for the protein machinery involved in replication, recombination, and transcription of the genetic message. This argument probably applies to all levels of chromatin organization, from the basic repeating unit, the nucleosome, over the solenoid superhelix or other condensed arrays of nucleosomes, to chromatin domains and loops. In the past this problem has been circumvented or eluded by invoking ad hoc hypothesis. For some years after the discovery of the nucleosomal organization of chromatin, the curious idea was favoured that the histones have evolved to packaged DNA into the cell nucleus in a ‘transparent’ way, which virtually would not interfere with the processes of replication and transcription. The prevailing opinion was that one could treat the genetic material of eukaryotic cells in very much the same way as that of bacteriophage lambda, ignoring the fact that it is tightly condensed into a regular structure. To make this assumption acceptable, it was claimed that the nucleosomes are randomly located along the DNA, and for this reason do not pose a problem for protein recognizing specific sequences or for enzymes involved in DNA metabolism. In recent years, however, this view has been challenged by the accumulation of experimental evidence demonstrating a precise nucleosomal organization in relevant DNA regions of many genes.

Atti di convegni sul tema "Ad hoc microphone arrays":

Gaubitch, Nikolay D., W. Bastiaan Kleijn e Richard Heusdens. "Auto-localization in ad-hoc microphone arrays". In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6637618.

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Wang, Dongmei, Takuya Yoshioka, Zhuo Chen, Xiaofei Wang, Tianyan Zhou e Zhong Meng. "Continuous Speech Separation with Ad Hoc Microphone Arrays". In 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco54536.2021.9616142.

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Hon, Tsz-Kin, Lin Wang, Joshua D. Reiss e Andrea Cavallaro. "Fine landmark-based synchronization of ad-hoc microphone arrays". In 2015 23rd European Signal Processing Conference (EUSIPCO). IEEE, 2015. http://dx.doi.org/10.1109/eusipco.2015.7362600.

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Pasha, Shahab, e Christian Ritz. "Clustered multi-channel dereverberation for ad-hoc microphone arrays". In 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). IEEE, 2015. http://dx.doi.org/10.1109/apsipa.2015.7415519.

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Taghizadeh, Mohammad J., Afsaneh Asaei, Philip N. Garner e Herve Bourlard. "Ad-hoc microphone array calibration from partial distance measurements". In 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA). IEEE, 2014. http://dx.doi.org/10.1109/hscma.2014.6843239.

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Chen, Minghua, Zicheng Liu, Li-Wei He, Phil Chou e Zhengyou Zhang. "Energy-Based Position Estimation of Microphones and Speakers for Ad Hoc Microphone Arrays". In 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. IEEE, 2007. http://dx.doi.org/10.1109/aspaa.2007.4393035.

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Hennecke, Marius H., e Gernot A. Fink. "Towards acoustic self-localization of ad hoc smartphone arrays". In 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA 2011). IEEE, 2011. http://dx.doi.org/10.1109/hscma.2011.5942378.

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Tavakoli, Vincent M., Jesper R. Jensen, Richard Heusdens, Jacob Benesty e Mads G. Christensen. "Distributed max-SINR speech enhancement with ad hoc microphone arrays". In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952136.

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Zhang, Yang, Dinei Florêncio e Mark Hasegawa-Johnson. "Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays". In Interspeech 2017. ISCA: ISCA, 2017. http://dx.doi.org/10.21437/interspeech.2017-1659.

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Himawan, Ivan, Iain McCowan e Sridha Sridharan. "Clustering of ad-hoc microphone arrays for robust blind beamforming". In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5496201.

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