Audio Commons: An Ecosystem for Creative Reuse of Audio Content

Rezultaty

A draft first version of the Audio Commons Ontology implemented in OWL. This will facilitate the development of tools, APIs and service interoperability.

Service integration technologies

Software systems for enabling access to distributed repositories and services within ACE. This includes client side and server side software modules that can be integrated into existing or new products and services.

Release of tool for the automatic semantic description of music pieces

Final release of the software tool for automatically annotating music pieces using semantic concepts from the Audio Commons Ontology. This version of the tool contains the improvements included after the second evaluation cycle.

Release of tool for the manual annotation of musical content

Release of the tool for manually annotating music samples and music pieces following the guidelines of the Audio Commons Ontology

Final ontology specification

The second version of the AC Ontology formalised in OWL. This version incorporates feedback from other technology development tasks in WP4 and WP5.

Release of tool for the manual annotation of non-musical content

Release of the tool for manually annotating non-musical content following to the guidelines of the Audio Commons Ontology.

Release of timbral characterisation tool for semantically annotating non-musical content

Final release of the software tool for automatically annotating non-musical audio content using semantic concepts from the Audio Commons Ontology. This version of the tool contains the improvements included after the second evaluation cycle.

API specification

Specification of the end-user Web APIs and internal audio analysis and processing APIs.

Release of tool for the automatic semantic description of music samples

Final release of the software tool for automatically annotating music samples using semantic concepts from the Audio Commons Ontology. This version of the tool contains the improvements included after the second evaluation cycle.

Second draft data management plan

Second draft of the data management plan (DMP) following EC guidelines, describing the data to be generated during the project and how will this be made public and accessible.

Evaluation report on the first prototype tool for the automatic semantic description of music samples

Report on analysis results of the accuracy and effectiveness of the first prototype for the automatic annotation of music samples. Identification of key areas for improvement/extension.

Report on Rights Management requirements

Release of a document outlining rights management requirements for the ACE and the Audio Commons Ontology in particular.

Report on novel methods for measuring creativity support

This report will detail our methods for the assessment of creativity support in ACE and summarise our findings on the performance of our tools.

Report on dissemination and publication of results

Publication of results will be produced including the publications, conferences and trade shows attendances. This deliverable will summarise all dissemination activities carried out during the project, as well as AudioCommons contribution to other initiatives. This deliverable is transversal to several tasks of this work package.

Evaluation report on the first prototype of the timbral characterisation tool

Report on analysis results of the accuracy and effectiveness of the first prototype for the automatic annotation of non-musical audio content. Identification of key areas for improvement/extension.

Draft data management plan

First draft of the data management plan (DMP) following EC guidelines, describing the data to be generated during the project and how will this be made public and accessible.

Project handbook and quality plan

Project handbook and quality plan including all procedures, communication channels and operational framework.

Evaluation report on the first prototype tool for the automatic semantic description of music pieces

Report on analysis results of the accuracy and effectiveness of the first prototype for the automatic annotation of music piece. Identification of key areas for improvement/extension.

Evaluation report on the tool for manual annotation of musical content

Evaluation report on the tool for manually annotating music samples and music pieces following the guidelines of the Audio Commons Ontology.

Evaluation report on the second prototype tool for the automatic semantic description of music pieces

Report on analysis results of the accuracy and effectiveness of the second prototype for the automatic annotation of music pieces. Identification of key areas for timbral analysis improvement/extension.

Evaluation report on the second prototype tool for the automatic semantic description of music samples

Report on analysis results of the accuracy and effectiveness of the second prototype for the automatic annotation of music samples. Identification of key areas for improvement/extension.

Evaluation report on the tool for manual annotation of non-musical content

Evaluation report on the tool for manually annotating non-musical content following the guidelines of the Audio Commons Ontology.

Report on the evaluation of the ACE from a business model perspective

Evaluation report of the implementation of the Audio Commons Ecosystem carried out during the project, from a business model perspective.

Ontology evaluation report

The final version of the ontology will be evaluated at the end of the project with respect to deployment and success of adaptation within ACE as well as with respect to its logical properties. A report will inform future efforts to adopt and maintain the ontology.

Report on business models emerging from the ACE

Report on potential business models that can emerge from the Audio Commons Ecosystem.

Guidelines for including new actors in the ACE

Document describing the guidelines for interacting with the Audio Commons Ecosystem, from the contributor and content provider level to the consumer level and to the tool creator level.

Requirements report and use cases

A report outlining requirements in creative workflows of the target user communities to facilitate the use of audio commons content. A set of use cases against which our prototypes will be developed and evaluated. The report will also inform the development of the Audio Commons Ontology and API.

Dissemination plan

Dissemination plan covering the dissemination of AudioCommons RTD outcomes. This deliverable is transversal to several tasks of this work package.

Hierarchical ontology of timbral semantic descriptors

Hierarchical ontology of timbral semantic descriptors with categories of timbral attributes most useful to automatic characterisation of non-musical content in sound library elements.

Data management plan

Data management plan (DMP) following EC guidelines, describing the data to be generated during the project and how will this be made public and accessible.

Report on the analysis and compilation of state-of-the-art methods for the automatic annotation of music pieces and music samples

This deliverable will include a document listing existing methods for several audio characterisation tasks (related to music pieces and music samples) along with pointers into already existing implementations or specifically developed implementations that can be used in AudioCommons.

Report on usage of Creative Commons licenses

Release of a document describing use cases of the Creative Commons licenses in the Audio Commons Ecosystem and identifying potential shortcomings (with proposals for improvements if required). Guidelines on how to present licensing information to users.

Service integration guidelines

Final service integration guidelines that enable third party adaptation of ACE technologies, including the improvements that will have been introduced in the technologies.

Report on the evaluation of the ACE from a holistic and technological perspective

Report on the evaluation of our system assessing how our tools support creative work in specific domains and how the system facilitates the reuse of audio content as a whole.

Evaluation report on the second prototype of the timbral characterisation tool

Report on analysis results of the accuracy and effectiveness of the second prototype for the automatic annotation of non-musical audio content. Identification of key areas for improvement/extension.

Service integration draft guidelines

Draft guidelines for integrating ACE technologies. This will involve tutorial documents to help the adaptation of ACE technologies by content providers and users.

First prototype of timbral characterisation tool for semantically annotating non-musical content

Release of the first prototype of the software tool for the automatic annotation of non-musical audio content.

First prototype tool for the automatic semantic description of music pieces

Release of the first prototype of the software tool for the automatic annotation of music pieces.

Second prototype tool for the automatic semantic description of music pieces

Release of the second prototype of the software tool for the automatic annotation of music pieces. This version of the tools contains improvements included after the first evaluation cycle.

First prototype tool for the automatic semantic description of music samples

Release of the first prototype of the software tool for the automatic annotation of music samples.

Second prototype of timbral characterisation tool for semantically annotating non-musical content

Release of the second prototype of the software tool for the automatic annotation of non-musical audio content. This version of the tools contains improvements included after the first evaluation cycle.

Second prototype tool for the automatic semantic description of music samples

Release of the second prototype of the software tool for the automatic annotation of music samples. This version of the tools contains improvements included after the first evaluation cycle.

Visual identity of ACE

Visual identity for the different parts and tools of the Audio Common ecosystem.

Project website

A multimedia website with public information on the project and its evolution, together with a private space for partners only as a discussion space and document repository.

Publikacje

Mood Visualiser: Augmented Music Visualisation Gauging Audience Arousal

Autorzy: Subramaniam, A., Barthet, M.
Opublikowane w: Proc. of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, 2017
Wydawca: ACM

Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks

Autorzy: Fonseca, Eduardo; Gong, Rong; Bogdanov, Dmitry; Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier
Opublikowane w: Proc. of the Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), Numer 12, 2017
Wydawca: Proc. of the Detection and Classification of Acoustic Scenes and Events Workshop (DCASE)

The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources

Autorzy: Bogdanov, Dmitry; Porter, Alastair; Urbano Merino, J.; Schreiber, Hendrik; Gravier, Guillaume; Bischke, Benjamin; Demarty, Claire-Hélène; Zaharieva, Maia; Riegler, Michael; Dellandrea, Emmanuel; Bogdanov, Dmitry; Sutcliffe, Richard; Jones, Gareth J.F.; Larson, Martha
Opublikowane w: MediaEval 2017. Dublin, Ireland, Numer 10, 2017
Wydawca: CEUR-WS.org

Quantifying music tends and facts using editorial metadata from the Discogs database

Autorzy: Bogdanov, Dmitry; Serra, Xavier
Opublikowane w: Proc. of the International Society for Music Information Retrieval Conference (ISMIR), Numer 9, 2017
Wydawca: The International Society of Music Information Retrieval

Freesound datasets: a platform for the creation of open audio datasets

Autorzy: Fonseca, Eduardo; Pons Puig, Jordi; Favory, Xavier; Font Corbera, Frederic; Bogdanov, Dmitry; Ferraro, Andrés; Oramas, Sergio; Porter, Alastair; Serra, Xavier
Opublikowane w: Proc. of the International Society for Music Information Retrieval Conference (ISMIR), Numer 8, 2017
Wydawca: The International Society of Music Information Retrieval
DOI: 10.5281/zenodo.1417158

A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging

Autorzy: Choi, Keunwoo; Fazekas, György; Cho, Kyunghyun; Sandler, Mark
Opublikowane w: Proc. of the 26th European Signal Processing Conference (EUSIPCO), Numer 6, 2018
Wydawca: EURASIP

General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline

Autorzy: Fonseca, Eduardo; Plakal, Manoj; Font, Frederic; Ellis, Daniel P. W.; Favory, Xavier; Pons, Jordi; Serra, Xavier
Opublikowane w: Proc. of the Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), Numer 1, 2018
Wydawca: Tampere University of Technology

A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification

Autorzy: Eduardo Fonseca; Rong Gong; Xavier Serra
Opublikowane w: Proc. of the Sound and Music Computing Conference, Numer 2, 2018
Wydawca: Cyprus University of Technology
DOI: 10.5281/zenodo.1422583

Playsound.space - enhancing a live music performance tool with semantic recommendations

Autorzy: Fabio Viola, Ariane Stolfi, Alessia Milo, Miguel Ceriani, Mathieu Barthet, György Fazekas
Opublikowane w: Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music - SAAM '18, 2018, Strona(/y) 46-53, ISBN 9781-450364959
Wydawca: ACM Press
DOI: 10.1145/3243907.3243908

IMMA-Emo: A Multimodal Interface for Visualising Score-and Audio-synchronised Emotion Annotations

Autorzy: Herremans, D., Yang, S., Chuan, C. H., Barthet, M., & Chew, E.
Opublikowane w: Proc. of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, 2017
Wydawca: ACM

Open Band: A Platform for Collective Sound Dialogues

Autorzy: Stolfi, A., Barthet, M., Goródscy, F., de Carvalho Junior, A. D.
Opublikowane w: Proc. of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, 2017
Wydawca: ACM

Detection of Piano Pedalling Techniques on the Sustain Pedal

Autorzy: Liang, B., Fazekas, G., Sandler, M.
Opublikowane w: Proc. of the 143rd Convention of the Audio Engineering Society, 2017
Wydawca: AES

Recognition of Piano Pedalling Techniques Using Gesture Data

Autorzy: Liang, B., Fazekas, G., Sandler, M.
Opublikowane w: Proc. of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, 2017
Wydawca: ACM

Freesound Explorer: Make Music While Discovering Freesound!

Autorzy: Font, F., Bandiera G.
Opublikowane w: Proc. of the Web Audio Conference (WAC), 2017
Wydawca: Queen Mary University of London

Multi Web Audio Sequencer: Collaborative Music Making

Autorzy: Favory, X., Serra, X.
Opublikowane w: Proc. of the Web Audio Conference (WAC), 2018
Wydawca: Technische Universität Berlin

The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources

Autorzy: Bogdanov, D., Porter A., Urbano J., Schreiber H.
Opublikowane w: MediaEval Workshop, 2018
Wydawca: CEUR-WS.org

MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets

Autorzy: Oramas, S., Bogdanov D., & Porter A.
Opublikowane w: MediaEval Workshop, 2018
Wydawca: CEUR-WS.org

Facilitating the Manual Annotation of Sounds When Using Large Taxonomies

Autorzy: Favory, X., Fonseca E., Font F., Serra X.
Opublikowane w: Proc. of the International Workshop on Semantic Audio and the Internet of Things (ISAI), in IEEE FRUCT Conference, 2018
Wydawca: IEEE

Using offline metrics and user behavior analysis to combine multiple systems for music recommendation

Autorzy: Ferraro, A., Bogdanov D., Choi K., Serra X.
Opublikowane w: Proc. of the Conference on Recommender Systems (RecSys), REVEAL Workshop, 2018
Wydawca: ACM

Automatic playlist continuation using a hybrid recommender system combining features from text and audio

Autorzy: Ferraro, A., Bogdanov D., Yoon J., Kim K. S., Serra X.
Opublikowane w: Proc. of the Conference on Recommender Systems (RecSys), Workshop on the RecSys Challenge, 2018
Wydawca: ACM

Predicting the Perceived Level of Reverberation using Features from Nonlinear Auditory Model

Autorzy: Safavi, S., Wang, W., Plumbley, M., Choobbasti, A., and Fazekas, G.
Opublikowane w: Proc. of the International Workshop on Semantic Audio and the Internet of Things (ISAI), in IEEE FRUCT Conference, 2018
Wydawca: IEEE FRUCT Open Innovations Association

Investigating Language Variability on the Performance of Speaker Verification Systems

Autorzy: Vaheb, A., Choobbasti, A., Mortazavi, S., and Safavi, S.
Opublikowane w: Proc. of the 21st International Conference on Speech and Computer (SPECOM), 2018
Wydawca: Springer

Predicting the perceived level of reverberation using machine learning

Autorzy: Safavi, S., Pearce, A., Wang, W., Plumbley, M.
Opublikowane w: Proc. of the Asilomar Conference on Signals, Systems, & Computers, 2018
Wydawca: IEEE

JSPEECH: A Multi-lingual conversational speech corpus

Autorzy: Choobbasti, A., Gholamian, M., Vaheb, A., and Safavi, S.
Opublikowane w: Proc. of the Speech and Language Technology Workshop (SLT), 2018
Wydawca: IEEE

Demo of interactions between a performer playing a Smart Mandolin and audience members using Musical Haptic Wearables

Autorzy: Turchet, L., Barthet, M.
Opublikowane w: Proc. of the New Interfaces for Musical Expression (NIME), 2018
Wydawca: Virginia Tech

Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases

Autorzy: Xambó, A., Roma, G., Lerch, A., Barthet, M., Fazekas, G.
Opublikowane w: Proc. of the New Interfaces for Musical Expression (NIME), 2018
Wydawca: NIME

Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure

Autorzy: Liang, B., Fazekas, G., Sandler, M.
Opublikowane w: Proc. of the 26th European Signal Processing Conference (EUSIPCO), 2018
Wydawca: EURASIP

Audio Commons Ontology: A Data Model for an Audio Content Ecosystem

Autorzy: Ceriani, M., Fazekas, G.
Opublikowane w: Proc. of the 17th International Semantic Web Conference (ISWC), 2018
Wydawca: Springer, LNCS

Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor

Autorzy: Sheng, D., Fazekas, G.
Opublikowane w: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Wydawca: IEEE

Exploring Real-time Visualisations to Support Chord Learning with a Large Music Collection

Autorzy: Pauwels, J., Xambó, A., Roma, G., Barthet, M., György Fazekas
Opublikowane w: Proc. of the Web Audio Conference (WAC), 2018
Wydawca: Furtwangen University, Technische Universität Berlin

Jam with Jamendo: Querying a Large Music Collection by Chords from a Learner’s Perspective

Autorzy: Xambó, A., Pauwels, J., Roma, G., Barthet, M., György Fazekas
Opublikowane w: Proc. of the 13th International Audio Mostly Conference, 2018
Wydawca: ACM

Embodied Interactions with E-Textiles and the Internet of Sounds for Performing Arts

Autorzy: Skach, S., Xambó, A., Turchet, L., Stolfi, A., Stewart, R., Barthet, M.
Opublikowane w: Proc.of the 12th International Conference on Tangible, Embedded, and Embodied Interaction, 2018
Wydawca: ACM

Participatory musical improvisations with Playsound.space

Autorzy: Stolfi, A., Milo, A., Ceriani, M., Barthet, M.
Opublikowane w: Proc. of the Web Audio Conference (WAC), 2018
Wydawca: Furtwangen University, Technische Universität Berlin

Playsound.space: Inclusive Free Music Improvisations Using Audio Commons

Autorzy: Stolfi, A., Milo, Viola, F., A., Ceriani, M., Barthet, M.
Opublikowane w: Proc. of the New Interfaces for Musical Expression (NIME), 2018
Wydawca: NIME

Playsound.space: An Ubiquitous System in Progress

Autorzy: Stolfi, A., Milo, Viola, F., A., Ceriani, M., Barthet, M.
Opublikowane w: Proc. of the Eighth Workshop on Ubiquitous Music (UbiMus), 2018
Wydawca: Federal University of São João del-Rei

Towards a Semantic Architecture for the Internet of Musical Things

Autorzy: Luca Turchet, Fabio Viola, Gyorgy Fazekas, Mathieu Barthet
Opublikowane w: 2018 23rd Conference of Open Innovations Association (FRUCT), 2018, Strona(/y) 382-390, ISBN 978-9-5268-6536-2
Wydawca: IEEE
DOI: 10.23919/fruct.2018.8587917

Jamming with a smart mandolin and Freesound

Autorzy: Turchet, L., Barthet, M.
Opublikowane w: Proc. of the International Workshop on Semantic Audio and the Internet of Things (ISAI) collocated with the 23rd IEEE FRUCT Open Innovations Association conference, 2018
Wydawca: IEEE FRUCT Open Innovations Association

The Audio Commons Initiative

Autorzy: Milo, A., Barthet, M., Fazekas, G.
Opublikowane w: Proc. of the Digital Music Research Network (DMRN), 2018
Wydawca: Queen Mary University of London

Ubiquitous Musical Activities with Smart Musical Instruments

Autorzy: Turchet, L., Barthet, M.
Opublikowane w: Proc. of the Eighth Workshop on Ubiquitous Music (UbiMus), 2018
Wydawca: Federal University of São João del-Rei

Skip prediction using boosting trees based on acoustic feature of tracks in sessions

Autorzy: Ferraro, A., Bogdanov D., Serra X.
Opublikowane w: Proc. of the 12th ACM International Conference on Web Search and Data Mining, 2019 WSDM Cup Workshop, 2019
Wydawca: ACM

Mining metadata from the web for AcousticBrainz

Autorzy: Alastair Porter, Dmitry Bogdanov, Xavier Serra
Opublikowane w: Proceedings of the 3rd International workshop on Digital Libraries for Musicology - DLfM 2016, 2016, Strona(/y) 53-56, ISBN 9781-450347518
Wydawca: ACM Press
DOI: 10.1145/2970044.2970048

Audio Commons: Bringing Creative Commons Audio Content to the Creative Industries

Autorzy: Font, Frederic; Brookes, Tim; Fazekas, George; Guerber, Martin; La Burthe, Amaury; Plans, David; Plumbley, Mark D.; Shaashua, Meir; Wang, Wenwu; Serra, Xavier
Opublikowane w: 61st International Conference: Audio for Games, 2016
Wydawca: Audio Engineering Society

2017 AES International Conference on Semantic Audio

Autorzy: Pearce, A., Brookes, T., Mason, R.
Opublikowane w: Audio Engineering Society Conference on Semantic Audio, 2017, ISBN 978-1-942220-15-2
Wydawca: Audio Engineering Society
DOI: 10.17743/aesconf.2017.978-1-942220-15-2

Cross-collection evaluation for music classification tasks

Autorzy: Bogdanov, D., Porter, A., Herrera, P., Serra, X.
Opublikowane w: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016
Wydawca: NYU Web Publishing

Tempo Estimation for Music Loops and a Simple Confidence Measure

Autorzy: Font, F., Serra, X.
Opublikowane w: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016
Wydawca: NYU Web Publishing

Automatic Tagging Using Deep Convolutional Neural Networks

Autorzy: Choi, K., Fazekas, G., Sandler, M.
Opublikowane w: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016
Wydawca: NYU Web Publishing

An Ontology for Audio Features

Autorzy: Allik, A., Fazekas, G., Sandler, M.
Opublikowane w: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016
Wydawca: NYU Web Publishing

A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging

Autorzy: Buccoli, M., Zanoni, M., Fazekas, G., Sarti A., Sandler, M.
Opublikowane w: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016
Wydawca: NYU Web Publishing

Transfer Learning for Music Classification and Regression Tasks

Autorzy: Choi, K., Fazekas, G., Sandler, M., Cho, K.
Opublikowane w: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2017
Wydawca: National University of Singapore Research Institute (NUSRI)

Exploring Confidence Measures and Their Application in Music Labelling Systems Based on Hidden Markov Models

Autorzy: Pauwels, J., Fazekas, G., Sandler, M.
Opublikowane w: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2017
Wydawca: National University of Singapore Research Institute (NUSRI)

Convolutional Recurrent Neural Networks for Music Classification

Autorzy: Choi, K., Fazekas, G., Sandler, M., Cho, K.
Opublikowane w: Proceedings of the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017
Wydawca: IEEE

Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions

Autorzy: Choi, K., Fazekas, G., Sandler, M.
Opublikowane w: Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems (SOAP), 2016, ISBN 978-1-4503-2138-9
Wydawca: ACM
DOI: 10.1145/1235

Knowledge Extraction from Audio Content Service Providers’ API Descriptions

Autorzy: Damir Juric, György Fazekas
Opublikowane w: Proceedings of the 10th International Conference on Metadata and Semantics Research (MTSR), 2016, Strona(/y) 55-66
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-49157-8_5

Realising a Layered Digital Library: Exploration and Analysis of the Live Music Archive through Linked Data

Autorzy: Kevin R. Page, Sean Bechhofer, Gyorgy Fazekas, David M. Weigl, Thomas Wilmering
Opublikowane w: 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2017, Strona(/y) 1-10, ISBN 978-1-5386-3861-3
Wydawca: IEEE
DOI: 10.1109/JCDL.2017.7991563

AUFX-O: Novel Methods for the Representation of Audio Processing Workflows

Autorzy: Thomas Wilmering, György Fazekas, Mark B. Sandler
Opublikowane w: Proceedings of the 15th International Semantic Web Conference (ISWC 2016) - Lecture Notes in Computer Science, vol 9982., 2016, Strona(/y) 229-237
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-46547-0_24

Ontological Representation of Audio Features

Autorzy: Alo Allik, György Fazekas, Mark Sandler
Opublikowane w: Proceedings of the 15th International Semantic Web Conference (ISWC 2016) - Lecture Notes in Computer Science, vol 9982, 2016, Strona(/y) 3-11
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-46547-0_1

Measurement, Recognition and Visualisation of Piano Pedalling Gestures and Techniques

Autorzy: Liang, B., Fazekas, G., Sandler, M.
Opublikowane w: Journal of the Audio Engineering Society, Vol. 66, Numer 6, 2018, ISSN 2471-285X
Wydawca: AES

The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging

Autorzy: Choi, K., Fazekas, G., Sandler, M., Cho, K.
Opublikowane w: IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 2, No. 2, 2018, ISSN 2471-285X
Wydawca: IEEE

Co-design of Musical Haptic Wearables for Electronic Music Performer’s Communication

Autorzy: Turchet, L., Barthet, M.
Opublikowane w: IEEE Transactions on Human-Machine Systems, 2018, ISSN 2168-2291
Wydawca: IEEE Systems, Man, and Cybernetics Society

Real-time hit classification in a Smart Cajón

Autorzy: Turchet, L., McPherson, A., Barthet, M.
Opublikowane w: Frontiers in ICT, 2018, ISSN 2297-198X
Wydawca: Frontiers in ICT

Co-design of a Smart Cajón

Autorzy: Turchet, L., McPherson, A., Barthet, M.
Opublikowane w: Journal of the Audio Engineering Society, 2018, ISSN 2297-198X
Wydawca: AES

Audio Semantics: Online Chat Communication in Open Band Participatory Music Performances

Autorzy: Stolfi, A., Sokolovskis, J. , Gorodscy, F. , Iazzetta, F., Barthet, M.
Opublikowane w: Journal of the Audio Engineering Society, 2018, ISSN 2297-198X
Wydawca: AES

Internet of Musical Things: Vision and Challenges

Autorzy: Turchet, L., Fischione, C., Essl, G., Keller, D., & Barthet, M.
Opublikowane w: IEEE Access, 2018, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.

Musical Source Separation: An Introduction

Autorzy: Estefanía Cano, Derry FitzGerald, Antoine Liutkus, Mark D. Plumbley and Fabian-Robert Stöter
Opublikowane w: IEEE Signal Processing Magazine, 2019, ISSN 1558-0792
Wydawca: IEEE

Modelling Timbral Hardness

Autorzy: Pearce, A., Brookes, T., Mason, R.
Opublikowane w: Journal of Applied Sciences, 2019, ISSN 2076-3417
Wydawca: MDPI

From Interactive to Adaptive Mood-Based Music Listening Experiences in Social or Personal Contexts

Autorzy: Mathieu Bartet, György Fazekas, Alo Alik, et al
Opublikowane w: Journal of the Audio Engineering Society, Numer 64/9, 2016, Strona(/y) 673-682, ISSN 1549-4950
Wydawca: Audio Engineering Society
DOI: 10.17743/jaes.2016.0042

Smart Musical Instruments: Key Concepts and Do It Yourself Tutorial

Autorzy: Turchet, L., Barthet, M.
Opublikowane w: Foundations in Sound Design: an interdisciplinary approach, 2019
Wydawca: Routledge

Leveraging Online Audio Commons Content For Media Production

Autorzy: Xambó, A., Font, F., Fazekas, G., Barthet, M.
Opublikowane w: Foundations in Sound Design: an interdisciplinary approach, 2019
Wydawca: Routledge

The Audio Commons Initiative

Autorzy: Font, F., Serra, X
Opublikowane w: International Society for Music Information Retrieval Conference (late-breaking demo), 2015
Wydawca: University of Malaga

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