The Internet of Sounds: Convergent Trends, Insights, and Future Directions
暂无分享,去创建一个
C. Fischione | L. Turchet | György Fazekas | M. Lagrange | C. Rottondi | T. Backstrom | J. Ostergaard | F. Font | Nils Peters
[1] Giang T. Nguyen,et al. Accelerating Industrial IoT Acoustic Data Separation With In-Network Computing , 2023, IEEE Internet of Things Journal.
[2] L. Turchet,et al. Towards a Sustainable Internet of Sounds , 2022, Audio Mostly Conference.
[3] L. Turchet,et al. Web Semantics: Science, Services and Agents on the World Wide Web Semantic Web of Musical Things: Achieving interoperability in the Internet of Musical Things , 2022 .
[4] W. Gan,et al. Multi-channel wireless hybrid active noise control with fixed-adaptive control selection , 2022, Journal of Sound and Vibration.
[5] L. Turchet,et al. Blockchain-based internet of musical things , 2022, Blockchain: Research and Applications.
[6] L. Turchet,et al. SMIF: A Format for the Offline Exchange of Smart Musical Instruments Configuration and Data , 2021, Journal of The Audio Engineering Society.
[7] N. Moustakas,et al. Design Recommendations for a Collaborative Game of Bird Call Recognition Based on Internet of Sound Practices , 2021, Journal of The Audio Engineering Society.
[8] György Fazekas,et al. Intelligent Control Method for the Dynamic Range Compressor: A User Study , 2021, Journal of the Audio Engineering Society.
[9] Le Ngu Nguyen,et al. Intuitive Privacy from Acoustic Reach: A Case for Networked Voice User-Interfaces , 2021, 2021 ISCA Symposium on Security and Privacy in Speech Communication.
[10] P. Bouquet,et al. The Smart Musical Instruments Ontology , 2021, J. Web Semant..
[11] Emilia Gómez,et al. Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications , 2021, IEEE Signal Processing Magazine.
[12] A. Touhafi,et al. Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs , 2021, Electronics.
[13] Nils Peters,et al. Storage and Authentication of Audio Footage for IoAuT Devices Using Distributed Ledger Technology , 2021, ArXiv.
[14] A. Sarti,et al. Experimenting With Adaptive Metronomes in Networked Music Performances! , 2021, Journal of The Audio Engineering Society.
[15] L. Turchet,et al. Technical Performance Assessment of the Ableton Link Protocol Over Wi-Fi , 2021, Journal of the Audio Engineering Society.
[16] Sam Ferguson,et al. Supporting Creative Practice in Wireless Distributed Sound Installations Given Technical Constraints , 2021, Journal of The Audio Engineering Society.
[17] Seth Thorn,et al. Telematic Wearable Music: Remote Ensembles and Inclusive Embodied Education , 2021, Audio Mostly Conference.
[18] Frederic Font,et al. SOURCE: a Freesound Community Music Sampler , 2021, Audio Mostly Conference.
[19] Stavros Ntalampiras,et al. Automatic acoustic classification of feline sex , 2021, Audio Mostly Conference.
[20] Flávio Luiz Schiavoni,et al. Sunflower: an environment for standardized communication of IoMusT , 2021, Audio Mostly Conference.
[21] Vincent Lostanlen,et al. Energy Efficiency is Not Enough:Towards a Batteryless Internet of Sounds , 2021, Audio Mostly Conference.
[22] Curtis Hawthorne,et al. Sequence-to-Sequence Piano Transcription with Transformers , 2021, ISMIR.
[23] Bryan Pardo,et al. Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition , 2021, ISMIR.
[24] Luca Turchet,et al. Musical Haptic Wearables for Synchronisation of Visually-impaired Performers: a Co-design Approach , 2021, IMX.
[25] Luca Turchet,et al. Smart Musical Instruments preset sharing: an ontology-based data access approach , 2021, 2021 IEEE 7th World Forum on Internet of Things (WF-IoT).
[26] Yohei Kawaguchi,et al. Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions , 2021, DCASE.
[27] C. Lavandier,et al. Polyphonic training set synthesis improves self-supervised urban sound classification. , 2021, The Journal of the Acoustical Society of America.
[28] C. Maina,et al. Raspberry Pi Based Recording System for Acoustic Monitoring of Bird Species , 2021, 2021 IST-Africa Conference (IST-Africa).
[29] Emmanouil Benetos,et al. MusCaps: Generating Captions for Music Audio , 2021, 2021 International Joint Conference on Neural Networks (IJCNN).
[30] György Fazekas,et al. Context-Aware Intelligent Mixing Systems , 2021, Journal of The Audio Engineering Society.
[31] Jan Østergaard,et al. Low Delay Robust Audio Coding by Noise Shaping, Fractional Sampling, and Source Prediction , 2021, 2021 Data Compression Conference (DCC).
[32] Andrew Stranieri,et al. A Survey on the Adoption of Blockchain in IoT: Challenges and Solutions , 2021 .
[33] Eduardo C. Nunes,et al. Anomalous Sound Detection with Machine Learning: A Systematic Review , 2021, ArXiv.
[34] Imran Zualkernan,et al. An AIoT System for Bat Species Classification , 2021, 2020 IEEE International Conference on Internet of Things and Intelligence System (IoTaIS).
[35] L. Turchet,et al. A Comparison of Real-Time Linux-Based Architectures for Embedded Musical Applications , 2021, Journal of the Audio Engineering Society.
[36] Christian Werner,et al. UNISON: A Novel System for Ultra-Low Latency Audio Streaming Over the Internet , 2021, 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC).
[37] Antoine LESIEUR,et al. Meta-modeling for urban noise mapping. , 2020, The Journal of the Acoustical Society of America.
[38] Benjamin Matuszewski,et al. A Web-Based Framework for Distributed Music System Research and Creation , 2020, Journal of the Audio Engineering Society.
[39] N. Otero,et al. Ubiquitous Music Ecologies , 2020 .
[40] Joan Feigenbaum,et al. Privacy-Preserving XGBoost Inference , 2020, ArXiv.
[41] György Fazekas,et al. From Music Ontology towards Ethno-Music-Ontology , 2020, ISMIR.
[42] X. Serra,et al. FSD50K: An Open Dataset of Human-Labeled Sound Events , 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[43] Carlo Fischione,et al. The Internet of Audio Things: State of the Art, Vision, and Challenges , 2020, IEEE Internet of Things Journal.
[44] Stephan Sigg,et al. Acoustic Fingerprints for Access Management in Ad-Hoc Sensor Networks , 2020, IEEE Access.
[45] Jakob Abeßer,et al. A study on spoken language identification using deep neural networks , 2020, Audio Mostly Conference.
[46] Alberto Gianelli,et al. On making physical the control of audio plugins: the case of the retrologue hardware synthesizer , 2020, Audio Mostly Conference.
[47] Luca Turchet,et al. Voice-based interface for accessible soundscape composition: composing soundscapes by vocally querying online sounds repositories , 2020, Audio Mostly Conference.
[48] Archontis Politis,et al. Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019 , 2020, IEEE/ACM Transactions on Audio Speech and Language Processing.
[49] Augusto Sarti,et al. An Adaptive Metronome Technique for Mitigating the Impact of Latency in Networked Music Performances , 2020, 2020 27th Conference of Open Innovations Association (FRUCT).
[50] Tychonas Michailidis,et al. Implementing Remote Audio as a Diagnostics Tool for Maritime Autonomous Surface Ships , 2020, 2020 27th Conference of Open Innovations Association (FRUCT).
[51] Marco Centenaro,et al. Towards a 5G Communication Architecture for the Internet of Musical Things , 2020, 2020 27th Conference of Open Innovations Association (FRUCT).
[52] Oliver Bown,et al. Transparent Communication Within Multiplicities , 2020, 2020 27th Conference of Open Innovations Association (FRUCT).
[53] Jürgen Peissig,et al. Impact of Source Panning on a Global Metronome in Rhythmic Networked Music Performance , 2020, 2020 27th Conference of Open Innovations Association (FRUCT).
[54] C. Fischione,et al. Wireless for Machine Learning , 2020, ArXiv.
[55] Z. Tan,et al. An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation , 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[56] Andrew P. McPherson,et al. A NIME Of The Times: Developing an Outward-Looking Political Agenda For This Community , 2020, NIME.
[57] Chris Chafe,et al. A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications , 2020, 2020 27th Conference of Open Innovations Association (FRUCT).
[58] Junichi Yamagishi,et al. The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment , 2020, INTERSPEECH.
[59] Junichi Yamagishi,et al. Introducing the VoicePrivacy Initiative , 2020, INTERSPEECH.
[60] Dan Stowell,et al. Efficient Bird Sound Detection on the Bela Embedded System , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[61] Fabio Morreale,et al. "My Library Has Just Been Obliterated": Producing New Norms of Use Via Software Update , 2020, CHI.
[62] Mathieu Lagrange,et al. Low-Cost Sensors for Urban Noise Monitoring Networks—A Literature Review , 2020, Sensors.
[63] Luca Turchet,et al. Touching the audience: musical haptic wearables for augmented and participatory live music performances , 2020, Personal and Ubiquitous Computing.
[64] Xavier Serra,et al. Tensorflow Audio Models in Essentia , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[65] Xuan Li,et al. Parallel convolutional processing using an integrated photonic tensor core , 2021, Nature.
[66] Alessio Brutti,et al. Compact Recurrent Neural Networks for Acoustic Event Detection on Low-Energy Low-Complexity Platforms , 2020, IEEE Journal of Selected Topics in Signal Processing.
[67] Shabnam Ghaffarzadegan,et al. An Ontology-Aware Framework for Audio Event Classification , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[68] Fausto Giunchiglia,et al. The Internet of Musical Things Ontology , 2020, J. Web Semant..
[69] Mark B. Sandler,et al. 20 Years of Automatic Chord Recognition from Audio , 2019, ISMIR.
[70] Nitesh V. Chawla,et al. Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity , 2019, CIKM.
[71] Félix Gontier,et al. Estimation of the Perceived Time of Presence of Sources in Urban Acoustic Environments Using Deep Learning Techniques , 2019, Acta Acustica united with Acustica.
[72] Lucas Beyer,et al. Effect of a Global Metronome on Ensemble Accuracy in Networked Music Performance , 2019 .
[73] Justin Salamon,et al. Tricycle: Audio Representation Learning from Sensor Network Data Using Self-Supervision , 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[74] Mark B. Sandler,et al. Approaches in Intelligent Music Production , 2019, Arts.
[75] Luca Turchet,et al. Interactive sonification and the IoT: the case of smart sonic shoes for clinical applications , 2019, Audio Mostly Conference.
[76] Michael Reichmann,et al. Auditory Augmented Reality for Cyber Physical Production Systems , 2019, Audio Mostly Conference.
[77] An Braeken,et al. Evaluation of Classical Machine Learning Techniques towards Urban Sound Recognitionon Embedded Systems , 2019, Applied Sciences.
[78] Jin Liu,et al. Deep Learning-Based Reasoning With Multi-Ontology for IoT Applications , 2019, IEEE Access.
[79] Damián Keller,et al. The Handy Metaphor: Bimanual, touchless interaction for the internet of musical things , 2019, Journal of New Music Research.
[80] Keenan Ball,et al. Persistent near real‐time passive acoustic monitoring for baleen whales from a moored buoy: System description and evaluation , 2019, Methods in Ecology and Evolution.
[81] Mathieu Barthet,et al. An ubiquitous smart guitar system for collaborative musical practice , 2019, Journal of New Music Research.
[82] Oliver Bown,et al. Facilitating Creative Exploratory Search with Multiple Networked Audio Devices Using HappyBrackets , 2019, NIME.
[83] Oliver Bown,et al. Rapid Composition for Networked Devices: HappyBrackets , 2019, Computer Music Journal.
[84] Zibin Zheng,et al. Blockchain for Internet of Things: A Survey , 2019, IEEE Internet of Things Journal.
[85] Isabel Trancoso,et al. The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps towards a Common Understanding , 2019, INTERSPEECH.
[86] Roger B. Dannenberg,et al. O2: A Network Protocol for Music Systems , 2019, Wirel. Commun. Mob. Comput..
[87] Luca Turchet,et al. Co-Design of Musical Haptic Wearables for Electronic Music Performer's Communication , 2019, IEEE Transactions on Human-Machine Systems.
[88] Cláudio T. Silva,et al. The Life of a New York City Noise Sensor Network , 2019, Sensors.
[89] Oded Nov,et al. SONYC , 2019, Commun. ACM.
[90] Simon Dixon,et al. Automatic Music Transcription: An Overview , 2019, IEEE Signal Processing Magazine.
[91] Victor C. M. Leung,et al. Wireless acoustic sensor networks and edge computing for rapid acoustic monitoring , 2019, IEEE/CAA Journal of Automatica Sinica.
[92] Mehdi Bennis,et al. Wireless Network Intelligence at the Edge , 2018, Proceedings of the IEEE.
[93] Thomas Lunner,et al. Toward EEG-Assisted Hearing Aids: Objective Threshold Estimation Based on Ear-EEG in Subjects With Sensorineural Hearing Loss , 2018, Trends in Hearing.
[94] Jie Lin,et al. The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs , 2018, IACR Cryptol. ePrint Arch..
[95] Luca Turchet,et al. C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things , 2018, 2018 23rd Conference of Open Innovations Association (FRUCT).
[96] Augusto Sarti,et al. Investigating Networked Music Performances in Pedagogical Scenarios for the InterMUSIC Project , 2018, 2018 23rd Conference of Open Innovations Association (FRUCT).
[97] Deborah L. McGuinness,et al. A Music Theory Ontology , 2018, SAAM@ISWC.
[98] György Fazekas,et al. Audio Commons Ontology: A Data Model for an Audio Content Ecosystem , 2018, SEMWEB.
[99] Tomas Bäckström,et al. Speech Coding, Speech Interfaces and IOT - Opportunities and Challenges , 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.
[100] Carlo Fischione,et al. Internet of Musical Things: Vision and Challenges , 2018, IEEE Access.
[101] Bob L. Sturm,et al. Ethical Dimensions of Music Information Retrieval Technology , 2018, Trans. Int. Soc. Music. Inf. Retr..
[102] Luca Turchet,et al. Smart Mandolin: autobiographical design, implementation, use cases, and lessons learned , 2018, Audio Mostly Conference.
[103] Carlo Fischione,et al. Low-Latency Networking: Where Latency Lurks and How to Tame It , 2018, Proceedings of the IEEE.
[104] Abeßer Jakob,et al. A Distributed Sensor Network for Monitoring Noise Level and Noise Sources in Urban Environments , 2018, 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud).
[105] Mohammed Atiquzzaman,et al. Interoperability in Internet of Things: Taxonomies and Open Challenges , 2018, Mobile Networks and Applications.
[106] Hervé Glotin,et al. Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge , 2018, Methods in Ecology and Evolution.
[107] Luca Turchet,et al. Real-Time Hit Classification in a Smart Cajón , 2018, Front. ICT.
[108] Eric Drott. Music as a Technology of Surveillance , 2018, Journal of the Society for American Music.
[109] Raghuraman Krishnamoorthi,et al. Quantizing deep convolutional networks for efficient inference: A whitepaper , 2018, ArXiv.
[110] György Fazekas,et al. Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases , 2018, NIME.
[111] Norman Finn,et al. Introduction to Time-Sensitive Networking , 2018, IEEE Communications Standards Magazine.
[112] L. Kloepper,et al. The Chirocopter: A UAV for recording sound and video of bats at altitude , 2018 .
[113] Adriano Baratè,et al. Advanced Experience of Music through 5G Technologies , 2018, IOP Conference Series: Materials Science and Engineering.
[114] Tiago M. Fernández-Caramés,et al. A Review on the Use of Blockchain for the Internet of Things , 2018, IEEE Access.
[115] Joshua D. Reiss,et al. FXive: A Web Platform for Procedural Sound Synthesis , 2018 .
[116] S. Furui. Digital Speech Processing, Synthesis, and Recognition : Synthesis, and Recognition, Second Edition, , 2018 .
[117] Fabio Viola,et al. Dynamic Linked Data: A SPARQL Event Processing Architecture , 2018, Future Internet.
[118] Sylvain Meignier,et al. An Open-Source Speaker Gender Detection Framework for Monitoring Gender Equality , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[119] Luca Turchet,et al. Embodied Interactions with E-Textiles and the Internet of Sounds for Performing Arts , 2018, TEI.
[120] Thomas C. Schmidt,et al. RIOT: An Open Source Operating System for Low-End Embedded Devices in the IoT , 2018, IEEE Internet of Things Journal.
[121] Nick Bryan-Kinns,et al. LeMo: Supporting Collaborative Music Making in Virtual Reality , 2018, 2018 IEEE 4th VR Workshop on Sonic Interactions for Virtual Environments (SIVE).
[122] Alan Hanjalic,et al. One deep music representation to rule them all? A comparative analysis of different representation learning strategies , 2018, Neural Computing and Applications.
[123] Dan Stowell,et al. Detection and Classification of Acoustic Scenes and Events , 2015, IEEE Transactions on Multimedia.
[124] Mianxiong Dong,et al. Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing , 2018, IEEE Network.
[125] Nick S. Jones,et al. Robust, real-time and autonomous monitoring of ecosystems with an open, low-cost, networked device , 2017, bioRxiv.
[126] C. Lavandier,et al. An Efficient Audio Coding Scheme for Quantitative and Qualitative Large Scale Acoustic Monitoring Using the Sensor Grid Approach , 2017, Sensors.
[127] Xavier Serra,et al. End-to-end Learning for Music Audio Tagging at Scale , 2017, ISMIR.
[128] Andrés Marín López,et al. Seamless human-device interaction in the internet of things , 2017, IEEE Transactions on Consumer Electronics.
[129] Colin Raffel,et al. Onsets and Frames: Dual-Objective Piano Transcription , 2017, ISMIR.
[130] Christopher W. Clark,et al. Long-term passive acoustic recordings track the changing distribution of North Atlantic right whales (Eubalaena glacialis) from 2004 to 2014 , 2017, Scientific Reports.
[131] György Fazekas,et al. Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications , 2017 .
[132] K. Horton,et al. High-intensity urban light installation dramatically alters nocturnal bird migration , 2017, Proceedings of the National Academy of Sciences.
[133] Mark D. Plumbley,et al. Computational Analysis of Sound Scenes and Events , 2017 .
[134] György Fazekas,et al. A Tutorial on Deep Learning for Music Information Retrieval , 2017, ArXiv.
[135] Carlo Fischione,et al. Examples of use cases with Smart Instruments , 2017, Audio Mostly Conference.
[136] Adriano Baratè,et al. 5G TECHNOLOGY AND ITS APPLICATIONS TO MUSIC EDUCATION , 2017 .
[137] G. Fitzpatrick,et al. Design Implications for Technology-Mediated Audience Participation in Live Music , 2017 .
[138] György Fazekas,et al. Realising a Layered Digital Library: Exploration and Analysis of the Live Music Archive through Linked Data , 2017, 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL).
[139] Gerhard Widmer,et al. End-to-end musical key estimation using a convolutional neural network , 2017, 2017 25th European Signal Processing Conference (EUSIPCO).
[140] Mark Sandler,et al. The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging , 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.
[141] Mahesh K. Marina,et al. Network Slicing in 5G: Survey and Challenges , 2017, IEEE Communications Magazine.
[142] Mark Sandler,et al. Transfer Learning for Music Classification and Regression Tasks , 2017, ISMIR.
[143] Aren Jansen,et al. Audio Set: An ontology and human-labeled dataset for audio events , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[144] Giovanni Zambon,et al. LIFE DYNAMAP project: The case study of Rome , 2017 .
[145] Augusto Sarti,et al. An Overview on Networked Music Performance Technologies , 2016, IEEE Access.
[146] György Fazekas,et al. AUFX-O: Novel Methods for the Representation of Audio Processing Workflows , 2016, SEMWEB.
[147] Petar Popovski,et al. Delay Minimization in Real-Time Communications With Joint Buffering and Coding , 2016, IEEE Communications Letters.
[148] Joshua D. Reiss,et al. Semantic Description of Timbral Transformations in Music Production , 2016, ACM Multimedia.
[149] Mark Sandler,et al. Convolutional recurrent neural networks for music classification , 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[150] Mark B. Sandler,et al. Towards Music Captioning: Generating Music Playlist Descriptions , 2016, ArXiv.
[151] Dong-Hee Shin,et al. Voices of the Internet of Things: An Exploration of Multiple Voice Effects in Smart Homes , 2016, HCI.
[152] Rebecca Fiebrink,et al. The Global Metronome: Absolute Tempo Sync For Networked Musical Performance , 2016, NIME.
[153] Marcelo M. Wanderley,et al. Prynth: A Framework for Self-contained Digital Music Instruments , 2016, CMMR.
[154] J. Skowronek,et al. P.1305 - Effect of delays on telemeeting quality , 2016 .
[155] Quan Zhang,et al. Edge Computing: Vision and Challenges , 2016, IEEE Internet of Things Journal.
[156] Martin Maier,et al. The tactile internet: vision, recent progress, and open challenges , 2016, IEEE Communications Magazine.
[157] Norbert Schnell,et al. Synchronisation for Distributed Audio Rendering over Heterogeneous Devices, in HTML5 , 2016 .
[158] Fs Thalmann,et al. The Semantic Music Player: A Smart Mobile Player Based on Ontological Structures and Analytical Feature Metadata , 2016 .
[159] György Fazekas,et al. myMoodplay: An interactive mood-based music discovery app , 2016 .
[160] Florian Thalmann,et al. The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices , 2016, 2016 IEEE Tenth International Conference on Semantic Computing (ICSC).
[161] Stefano Squartini,et al. Wireless Networked Music Performance , 2016 .
[162] Mark D. Plumbley,et al. Audio Commons: bringing Creative Commons audio content to the creative industries , 2016 .
[163] Ricardo Neisse,et al. Ethical Design in the Internet of Things , 2016, Science and Engineering Ethics.
[164] Augusto Sarti,et al. Feature-Based Analysis of the Effects of Packet Delay on Networked Musical Interactions , 2015 .
[165] Jia-Shing Sheu,et al. Realization of an Ethernet-based synchronous audio playback system , 2015, Multimedia Tools and Applications.
[166] Song Han,et al. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding , 2015, ICLR.
[167] Waqar Mahmood,et al. Internet of multimedia things: Vision and challenges , 2015, Ad Hoc Networks.
[168] Rolf H. Weber,et al. Internet of things: Privacy issues revisited , 2015, Comput. Law Secur. Rev..
[169] Adrian Freed,et al. Simple Synchronisation for Open Sound Control , 2015, ICMC.
[170] J. Sueur,et al. Ecoacoustics: the Ecological Investigation and Interpretation of Environmental Sound , 2015, Biosemiotics.
[171] Felix Wortmann,et al. Internet of Things , 2015, Bus. Inf. Syst. Eng..
[172] Ann Light,et al. Designing Connected Products: UX for the Consumer Internet of Things , 2015 .
[173] Andrew P. McPherson,et al. An Environment for Submillisecond-Latency Audio and Sensor Processing on BeagleBone Black , 2015 .
[174] Carlo Fischione,et al. Millimeter Wave Cellular Networks: A MAC Layer Perspective , 2015, IEEE Transactions on Communications.
[175] Norbert Schnell,et al. Of Time Engines and Masters An API for Scheduling and Synchronizing the Generation and Playback of Event Sequences and Media Streams for the Web Audio API , 2015 .
[176] Eleonora Borgia,et al. The Internet of Things vision: Key features, applications and open issues , 2014, Comput. Commun..
[177] György Fazekas,et al. The Open Multitrack Testbed , 2014 .
[178] Andrew R. Nix,et al. Making the Most of Wi-Fi: Optimisations for Robust Wireless Live Music Performance , 2014, NIME.
[179] Dong Yu,et al. Deep Learning: Methods and Applications , 2014, Found. Trends Signal Process..
[180] Carsten Bormann,et al. The Constrained Application Protocol (CoAP) , 2014, RFC.
[181] Dan Stowell,et al. Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning , 2014, PeerJ.
[182] Sebastian Böck,et al. Improved musical onset detection with Convolutional Neural Networks , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[183] S. H. Jensen,et al. Practical design of delta-sigma multiple description audio coding , 2014, EURASIP Journal on Audio, Speech, and Music Processing.
[184] György Fazekas,et al. Selection of Audio Features for Music Emotion Recognition Using Production Music , 2014, Semantic Audio.
[185] Francisco Herrera,et al. An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics , 2013, Inf. Sci..
[186] Tim Fingscheidt,et al. Robust Ultra-Low Latency Soft-Decision Decoding of Linear PCM Audio , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[187] Xavier Serra,et al. Freesound technical demo , 2013, ACM Multimedia.
[188] György Fazekas,et al. Automatic Ontology Generation for Musical Instruments Based on Audio Analysis , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[189] György Fazekas,et al. Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags , 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).
[190] Arkady B. Zaslavsky,et al. Context Aware Computing for The Internet of Things: A Survey , 2013, IEEE Communications Surveys & Tutorials.
[191] Carlo Drioli,et al. Networked Performances and Natural Interaction via LOLA: Low Latency High Quality A/V Streaming System , 2013, ECLAP.
[192] Bhiksha Raj,et al. Privacy-Preserving Speaker Verification and Identification Using Gaussian Mixture Models , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[193] György Fazekas,et al. Knowledge Representation Issues in Audio-Related Metadata Model Design , 2012 .
[194] Timothy B. Terriberry,et al. Definition of the Opus Audio Codec , 2012, RFC.
[195] Eetu Luoma,et al. Defining an Internet-of-Things Ecosystem , 2012, NEW2AN.
[196] Östen Axelsson,et al. Sounding Brighton: practical approaches towards better soundscapes , 2012 .
[197] György Fazekas,et al. Music Emotion Recognition: From Content- to Context-Based Models , 2012, CMMR.
[198] Miguel A. Martínez-Prieto,et al. Exchange and Consumption of Huge RDF Data , 2012, ESWC.
[199] Alexander Bertrand,et al. Applications and trends in wireless acoustic sensor networks: A signal processing perspective , 2011, 2011 18th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT).
[200] György Fazekas,et al. Music recommendation for music learning: Hotttabs, a multimedia guitar tutor , 2011 .
[201] Andreas Hildebrand,et al. Realtime Linear Audio Distribution Over Networks: A Comparison of Layer 2 and 3 Solutions Using the Example of Ethernet AVB and RAVENNA , 2011 .
[202] Johannes Hilpert,et al. MPEG-4 AAC-ELD v2 – The New State of the Art in High Quality Communication Audio Coding , 2011 .
[203] Rodrigo Roman,et al. Securing the Internet of Things , 2017, Smart Cards, Tokens, Security and Applications, 2nd Ed..
[204] Daniel E. Quevedo,et al. Real-Time Perceptual Moving-Horizon Multiple-Description Audio Coding , 2011, IEEE Transactions on Signal Processing.
[205] Peter F. Driessen,et al. The Effects of Network Delay on Tempo in Musical Performance , 2011, Computer Music Journal.
[206] György Fazekas,et al. An Overview of Semantic Web Activities in the OMRAS2 Project , 2010 .
[207] Chris Chafe,et al. JackTrip: Under the Hood of an Engine for Network Audio , 2010, ICMC.
[208] Chris Chafe,et al. Effect of Temporal Separation on Synchronization in Rhythmic Performance , 2010, Perception.
[209] Victor C. M. Leung,et al. Enabling technologies for wireless body area networks: A survey and outlook , 2009, IEEE Communications Magazine.
[210] Christoph Lenzen,et al. Optimal clock synchronization in networks , 2009, SenSys '09.
[211] Adrian Freed,et al. Features and Future of Open Sound Control version 1.1 for NIME , 2009, NIME.
[212] Leonardo Chiariglione,et al. Moving Picture Experts Group (MPEG) , 2009, Scholarpedia.
[213] Jennifer Spenader,et al. Lexical and Perceptual Grounding of a Sound Ontology , 2007, TSD.
[214] H. Boley,et al. Digital Ecosystems: Principles and Semantics , 2007, 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference.
[215] György Fazekas,et al. Intelligent Editing of Studio Recordings with the Help of Automatic Music Structure Extraction , 2007 .
[216] William M. Campbell,et al. Exploiting Nonacoustic Sensors for Speech Encoding , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[217] U. Peter Svensson,et al. Ensemble Hand-Clapping Experiments under the Influence of Delay and Various Acoustic Environments , 2006 .
[218] Gordana S. Velikic,et al. Effect of Network Latency on Interactive Musical Performance , 2006 .
[219] Jesper Jensen,et al. Perceptual Audio Coding Using N-Channel Lattice Vector Quantization , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[220] WrightMatthew. Open Sound Control: an enabling technology for musical networking , 2005 .
[221] Bo Luo,et al. Adaptive Information: Improving Business through Semantic Interoperability, Grid Computing, and Enterprise Integration , 2005, Inf. Process. Manag..
[222] Vivek K. Goyal,et al. Robust low-delay audio coding using multiple descriptions , 2005, IEEE Transactions on Speech and Audio Processing.
[223] Mark B. Sandler,et al. A tutorial on onset detection in music signals , 2005, IEEE Transactions on Speech and Audio Processing.
[224] Gyula Simon,et al. The flooding time synchronization protocol , 2004, SenSys '04.
[225] Fikret Sivrikaya,et al. Time synchronization in sensor networks: a survey , 2004, IEEE Network.
[226] Qun Li,et al. Global clock synchronization in sensor networks , 2006, IEEE Transactions on Computers.
[227] A. A. Sawchuk,et al. From remote media immersion to Distributed Immersive Performance , 2003, ETP '03.
[228] Daniel P. W. Ellis,et al. Chord segmentation and recognition using EM-trained hidden markov models , 2003, ISMIR.
[229] George Tzanetakis,et al. Musical genre classification of audio signals , 2002, IEEE Trans. Speech Audio Process..
[230] Austin Henderson,et al. Interaction design: beyond human-computer interaction , 2002, UBIQ.
[231] Mahadev Satyanarayanan,et al. Pervasive computing: vision and challenges , 2001, IEEE Wirel. Commun..
[232] Vivek K. Goyal,et al. Multiple description perceptual audio coding with correlating transforms , 2000, IEEE Trans. Speech Audio Process..
[233] Tomohiro Nakatani,et al. Sound Ontology for Computational Auditory Scence Analysis , 1998, AAAI/IAAI.
[234] David L. Mills,et al. Internet time synchronization: the network time protocol , 1991, IEEE Trans. Commun..
[235] Luca Turchet,et al. Music Emotion Recognition: Intention of Composers-Performers Versus Perception of Musicians, Non-Musicians, and Listening Machines , 2022, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[236] Mark B. Sandler,et al. FifthNet: Structured Compact Neural Networks for Automatic Chord Recognition , 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[237] Fabio Graziosi,et al. On the Exploitation of 5G Multi-Access Edge Computing for Spatial Audio in Cultural Heritage Applications , 2021, IEEE Access.
[238] Stefan Kahl,et al. BirdNET: A deep learning solution for avian diversity monitoring , 2021, Ecol. Informatics.
[239] Xavier Serra,et al. Audio and Music Analysis on the Web using Essentia.js , 2021, Trans. Int. Soc. Music. Inf. Retr..
[240] Luca Turchet,et al. Music in Extended Realities , 2021, IEEE Access.
[241] L. Turchet. Cloud-Smart Musical Instrument Interactions: Querying a Large Music Collection with a Smart Guitar , 2020 .
[242] M. Wanderley,et al. The Scalability of WiFi for Mobile Embedded Sensor Interfaces , 2020, NIME.
[243] Ben Loveridge,et al. Networked Music Performance in Virtual Reality: Current Perspectives , 2020 .
[244] Eric Crockett,et al. A Low-Depth Homomorphic Circuit for Logistic Regression Model Training , 2020, IACR Cryptol. ePrint Arch..
[245] Luca Turchet,et al. Smart Musical Instruments: Vision, Design Principles, and Future Directions , 2019, IEEE Access.
[246] Xavier Serra,et al. The MTG-Jamendo Dataset for Automatic Music Tagging , 2019, ICML 2019.
[247] Kevin R. Page,et al. Semantic Web Technology for New Experiences Throughout the Music Production-Consumption Chain , 2019, 2019 International Workshop on Multilayer Music Representation and Processing (MMRP).
[248] Marcelo M. Wanderley,et al. A Comparison of Open-Source Linux Frameworks for an Augmented Musical Instrument Implementation , 2019, NIME.
[249] Anna Xambó,et al. Exploring Real-time Visualisations to Support Chord Learning with a Large Music Collection , 2018 .
[250] Benjamin Elizalde,et al. Sound event classification using ontology-based neural networks , 2018 .
[251] E. Soler,et al. On blockchain and its integration with IoT. Challenges and opportunities , 2018, Future Gener. Comput. Syst..
[252] L. Turchet. HARD REAL-TIME ONSET DETECTION OF PERCUSSIVE SOUNDS , 2018 .
[253] D. Botteldooren,et al. Early stage sound planning in urban re-development : the Antwerp case study , 2018 .
[254] Benjamin Matuszewski,et al. Toward a Web of Audio Things , 2018 .
[255] Víctor Rodríguez-Doncel,et al. Overview of the MPEG-21 Media Contract Ontology , 2016, Semantic Web.
[256] Julián Jaramillo Arango,et al. The Smartphone Ensemble. Exploring mobile computer mediation in collaborative musical performance , 2016, NIME.
[257] György Fazekas,et al. An Ontology for Audio Features , 2016, ISMIR.
[258] P. Atrey,et al. Secure Audio Reverberation over Cloud , 2015 .
[259] György Fazekas,et al. Design And Evaluation of Onset Detectors using Different Fusion Policies , 2014, ISMIR.
[260] Aylin Kantarci,et al. Time Synchronization Based on Slow-Flooding in Wireless Sensor Networks , 2014, IEEE Transactions on Parallel and Distributed Systems.
[261] Colin B. D. Clark,et al. Flocking: A Framework for Declarative Music-Making on the Web , 2014, ICMC.
[262] Andreas Hildebrand,et al. AES67-2013: AES standard for audio applications of networks - High-performance streaming audio-over-IP interoperability , 2014 .
[263] Georg Essl,et al. MoveOSC - Smart Watches in Mobile Music Performance , 2014, ICMC.
[264] György Fazekas,et al. SAFE: A System for the Extraction and Retrieval of Semantic Audio Descriptors , 2014 .
[265] Bryan Pardo,et al. Social-EQ: Crowdsourcing an Equalization Descriptor Map , 2013, ISMIR.
[266] Xavier Serra,et al. Roadmap for Music Information ReSearch , 2013 .
[267] Matthew Wright,et al. The Web Browser As Synthesizer And Interface , 2013, NIME.
[268] Steele Daniel,et al. THE SENSOR CITY INITIATIVE: COGNITIVE SENSORS FOR SOUNDSCAPE TRANSFORMATIONS , 2013 .
[269] György Fazekas,et al. The Audio Effects Ontology , 2013, ISMIR.
[270] G. Widmer,et al. MAXIMUM FILTER VIBRATO SUPPRESSION FOR ONSET DETECTION , 2013 .
[271] Joseph A. Paradiso,et al. Patchwork: Multi-User Network Control of a Massive Modular Synthesizer , 2012, NIME.
[272] JoAnn Kuchera-Morin,et al. Gibber: Live coding audio in the Browser , 2012, ICMC.
[273] K. Stylianos,et al. Common Noise Assessment Methods in Europe (CNOSSOS-EU) , 2012 .
[274] K. Yıldırım. CLOCK SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS , 2012 .
[275] Huajun Chen,et al. The Semantic Web , 2011, Lecture Notes in Computer Science.
[276] Erik Wilde,et al. From the Internet of Things to the Web of Things: Resource-oriented Architecture and Best Practices , 2011, Architecting the Internet of Things.
[277] György Fazekas,et al. The Studio Ontology Framework , 2011, ISMIR.
[278] György Fazekas,et al. Knowledge Representation Issues in Musical Instrument Ontology Design , 2011, ISMIR.
[279] Jeremy H. Brown,et al. How fast is fast enough ? Choosing between Xenomai and Linux for real-time applications , 2010 .
[280] Alicja Wieczorkowska,et al. Music Information Retrieval , 2009, Encyclopedia of Data Warehousing and Mining.
[281] Haijian Sun,et al. Exploring the role of latency and orchestra placement on the networked performance of a distributed opera , 2009 .
[282] Robert Hamilton,et al. Stanford Laptop Orchestra (SLOrk) , 2009, ICMC.
[283] Christian Werner,et al. Distributed Network Music Workshop with Soundjack , 2008 .
[284] Mark B. Sandler,et al. The Music Ontology , 2007, ISMIR.
[285] Perry R. Cook,et al. PLOrk: The Princeton Laptop Orchestra, Year 1 , 2006, ICMC.
[286] Anssi Klapuri,et al. Signal Processing Methods for the Automatic Transcription of Music , 2004 .
[287] Steffen Pauws,et al. Musical key extraction from audio , 2004, ISMIR.
[288] Matthew E. P. Davies,et al. Causal Tempo Tracking of Audio , 2004, ISMIR.
[289] John F. Sowa,et al. Knowledge representation: logical, philosophical, and computational foundations , 2000 .
[290] Kwok Ching Tsui,et al. The Intelligent Assistant: An Overview , 2000, Intelligent Systems and Soft Computing.
[291] Takuya Fujishima,et al. Realtime Chord Recognition of Musical Sound: a System Using Common Lisp Music , 1999, ICMC.
[292] Roger B. Dannenberg,et al. Time in Distributed Real-Time Systems , 1999, ICMC.
[293] Birgit Brüggemeier,et al. Perceptions and reactions to conversational privacy initiated by a conversational user interface , 2022, Comput. Speech Lang..
[294] A. Carôt. The World’s First Interactive 5G Music Concert: Professional Quality Networked Music Over a Commodity Network Infrastructure , 2022 .