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Digital Music Lab | An AHRC Digital Transformations Project

An AHRC Digital Transformations Project. Skip to primary content. Skip to secondary content. Digital Music Lab – Analysing Big Music Data is an AHRC. Project funded under the Big Data call. Of the Digital Transformations in the Arts and Humanities Theme. Our goal is to develop research methods and software infrastructure for exploring and analysing large-scale music collections, and to provide researchers and users with datasets and computational tools to analyse music audio, scores and metadata.

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Digital Music Lab | An AHRC Digital Transformations Project | dml.city.ac.uk Reviews
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An AHRC Digital Transformations Project. Skip to primary content. Skip to secondary content. Digital Music Lab – Analysing Big Music Data is an AHRC. Project funded under the Big Data call. Of the Digital Transformations in the Arts and Humanities Theme. Our goal is to develop research methods and software infrastructure for exploring and analysing large-scale music collections, and to provide researchers and users with datasets and computational tools to analyse music audio, scores and metadata.
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6 resources
7 chord visualisations
8 the temperament police
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Digital Music Lab | An AHRC Digital Transformations Project | dml.city.ac.uk Reviews

https://dml.city.ac.uk

An AHRC Digital Transformations Project. Skip to primary content. Skip to secondary content. Digital Music Lab – Analysing Big Music Data is an AHRC. Project funded under the Big Data call. Of the Digital Transformations in the Arts and Humanities Theme. Our goal is to develop research methods and software infrastructure for exploring and analysing large-scale music collections, and to provide researchers and users with datasets and computational tools to analyse music audio, scores and metadata.

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Events | Digital Music Lab

http://dml.city.ac.uk/category/events

An AHRC Digital Transformations Project. Skip to primary content. Skip to secondary content. ASyMMus at MTG Seminar, Universitat Pompeu Fabra Barcelona. November 26, 2015. The ASyMMus project and its integration into the DML web interface. During his departmental talk on music similarity. For more information and the full abstract. ASyMMuS Workshop: abstracts and slides. July 14, 2015. For the ASyMMuS Workshop on Music Similarity. ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling. Which took ...

2

DML project at FMA 2015 | Digital Music Lab

http://dml.city.ac.uk/dml-project-at-fma-2015

An AHRC Digital Transformations Project. Skip to primary content. Skip to secondary content. DML project at FMA 2015. June 9, 2015. Work carried out on analysing world and traditional music as part of the DML project will be presented at the 5th International Workshop on Folk Music Analysis (FMA 2015). FMA will take place on 10-12 June in Paris, France. Project-related papers are listed below:. This entry was posted in Project News. Proudly powered by WordPress.

3

ASyMMuS Workshop: abstracts and slides | Digital Music Lab

http://dml.city.ac.uk/asymmus-workshop-abstracts-and-slides

An AHRC Digital Transformations Project. Skip to primary content. Skip to secondary content. ASyMMuS Workshop: abstracts and slides. July 14, 2015. For the ASyMMuS Workshop on Music Similarity. Has been updated with a list of abstracts as well as slides from the various presentations. This entry was posted in ASyMMuS. Proudly powered by WordPress.

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DML Final Workshop: Slides | Digital Music Lab

http://dml.city.ac.uk/dml-final-workshop-slides

An AHRC Digital Transformations Project. Skip to primary content. Skip to secondary content. DML Final Workshop: Slides. March 18, 2015. For the DML Final Workshop on Analysing Big Music Data. Has been updated with slides from the various presentations – more to come! This entry was posted in Events. Proudly powered by WordPress.

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ASyMMuS Workshop | Digital Music Lab

http://dml.city.ac.uk/workshops/asymmus-workshop

An AHRC Digital Transformations Project. Skip to primary content. Skip to secondary content. ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling. 8 July 2015, 10:00 15:30. Foyle Suite, Centre for Conservation. The AHRC funded project on An Integrated Audio-Symbolic Model of Music Similarity (ASyMMuS). Aims to integrate aspects of audio and symbolic representations, such as scores or MIDI data, in a joint model. By building on the Digital Music Lab. Registration is now closed. Queen Mary Univers...

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MIRG @ British Library Digital Conversations: 21st May 2015, 6PM | City University MIRG

http://mirg.city.ac.uk/news/mirg-british-library-digital-conversations-21st-may-2015-6pm

Applications, Code and Datasets. Follow us on Twitter. MIRG @ British Library Digital Conversations: 21st May 2015, 6PM. Bull; May 21, 2015 • News. City University is prominently featured in the upcoming British Library event “Digital Conversations” –. Representing the Music Informatics Group and the Stephen Cottrell from the Music Department. Tillman will present the Digital Music Lab. Project which enables music research on big datasets. When: 21st May 2015, 6PM. 1800 Drinks and Nibbles. MIRG @ British...

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ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling | City University MIRG

http://mirg.city.ac.uk/news/asymmus-workshop-on-audio-symbolic-music-similarity-modelling

Applications, Code and Datasets. Follow us on Twitter. ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling. Bull; June 29, 2015 • News. ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling. 8 July 2015, 10:00 15:30. Foyle Suite, Centre for Conservation. For more information on the workshop, including programme, registration, and venue information, please visit the workshop webpage. ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling. 2017 City University MIRG.

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Projects | City University MIRG

http://mirg.city.ac.uk/projects

Applications, Code and Datasets. Follow us on Twitter. Automatic segmentation of audio recordings to speech and music. Dr Tillman Weyde, Dr Emmanouil Benetos, Dr Dan Tidhar. City University London Research Pump Priming Fund. April 2015 – May 2015. The main aim of this pump priming project is to improve state-of-the-art automatic speech-music segmentation technology and its applicability to the British Library’s World and traditional music collections. Semantic Linking of BBC Radio (SLoBR). Dr Tillman Wey...

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Applications, Code and Datasets | City University MIRG

http://mirg.city.ac.uk/category/codeapps

Applications, Code and Datasets. Follow us on Twitter. Applications, Code and Datasets. Learning Similarity with RBM Features Updated CAMIR Code. Bull; January 26, 2014 • Applications, Code and Datasets. Read more →. Creating Audio Based Experiments as Social Web Games with the CASimIR Framework. Bull; January 26, 2014 • Applications, Code and Datasets. Read more →. Spot the Odd Song Out collects Music Similarity Data. Bull; October 27, 2013 • Applications, Code and Datasets. Spot the Odd Song Out is a m...

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MuSpeak | City University MIRG

http://mirg.city.ac.uk/muspeak

Applications, Code and Datasets. Follow us on Twitter. Automatic segmentation of audio recordings to speech and music. Dr Tillman Weyde, Dr Emmanouil Benetos, Dr Dan Tidhar. City University London Research Pump Priming Fund. The main aim of this pump priming project is to improve state-of-the-art automatic speech-music segmentation technology and its applicability to the British Library’s World and traditional music collections. ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling.

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The 21st Century’s Raw Material: Using Open Data as Open Educational Resources | Open Education Working Group

http://education.okfn.org/the-21st-centurys-raw-material-using-open-data-as-open-educational-resources

An Open Knowledge Foundation Site. Open Education Working Group. The 21st Century’s Raw Material: Using Open Data as Open Educational Resources. March 9, 2015 in communication. In the first of our posts for Open Education Week #openeducationwk Javiera Atenas. Introduce the idea of using open data as a form of OER. Is a learning technologist at University College London and holds a PhD in education. Leo Havemann. Data is the 21st century’s new raw material. There is a general consensus that open data is b...

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DML Final Workshop on Analysing Big Music Data | City University MIRG

http://mirg.city.ac.uk/news/dml-final-workshop-on-analysing-big-music-data

Applications, Code and Datasets. Follow us on Twitter. DML Final Workshop on Analysing Big Music Data. Bull; March 5, 2015 • News. The Music Informatics group, as part of its AHRC-funded DML project. Is co-organising the workshop:. Digital Music Lab Final Workshop on Analysing Big Music Data. 13 March 2015, 10:00 16:30. Foyle Suite, Centre for Conservation. For more information on the workshop, including programme, registration, and venue information, please visit the workshop webpage.

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News | City University MIRG

http://mirg.city.ac.uk/category/news

Applications, Code and Datasets. Follow us on Twitter. ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling. Bull; June 29, 2015 • News. ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling 8 July 2015, 10:00 15:30 Foyle Suite, Centre for Conservation British Library The AHRC funded project on An Integrated Audio-Symbolic Model of Music Similarity (ASyMMuS) aims to integrate aspects of audio and symbolic representations, such as scores or MIDI data, in a joint model. By building. Bull; ...

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People | City University MIRG

http://mirg.city.ac.uk/people

Applications, Code and Datasets. Follow us on Twitter. Tillman Weyde (Senior Lecturer and Group Leader). Daniel Wolff (Research Fellow). Reinier de Valk (Research Student). Srikanth Cherla (Research Student). Andrew Lambert (Research Student). Andreas Jansson (Part-Time Research Student). Emmanouil Benetos (Honorary Visiting Fellow – former Research Fellow). Darrell Conklin (former Group Leader). Dan Tidhar (Research Fellow). Aline Honingh (former Research Fellow). Jens Wissmann (former Research Student).

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Publications | City University MIRG

http://mirg.city.ac.uk/publications

Applications, Code and Datasets. Follow us on Twitter. Wolff, D., MacFarlane, A. and Weyde, T. (2015). Comparative Music Similarity Modelling Using Transfer Learning Across User Groups. In: 16th International Society for Music Information Retrieval Conference, pp. 24-30, Oct. 2015. De Valk, R., Weyde, T. (2015). Bringing ‘Musicque into the tableture’: Machine learning models for polyphonic transcription of sixteenth-century lute tablature. Early Music, accepted. Early Music, 42(4):579-590, Nov. 2014.

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Digital Music Lab | An AHRC Digital Transformations Project

An AHRC Digital Transformations Project. Skip to primary content. Skip to secondary content. Digital Music Lab – Analysing Big Music Data is an AHRC. Project funded under the Big Data call. Of the Digital Transformations in the Arts and Humanities Theme. Our goal is to develop research methods and software infrastructure for exploring and analysing large-scale music collections, and to provide researchers and users with datasets and computational tools to analyse music audio, scores and metadata.

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Archives of the DINOSAUR Mailing List

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HOME - 株式会社デジタル・メディア・ラボ

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Home of DML

This Newly Discovered Hormone Could Help With Diagnosis of PCOS. January 12, 2017. For years the misdiagnosis of polycystic ovary syndrome or PCOS has been unavoidable, but after the discovery of the hormone Irisin. The newly discovered hormone,. Irisin, gives hope in the accurate detection of PCOS. The hormone is released from the muscle to regulate energy metabolism, the high levels of Irisin seems to have a correlation with PCOS being present in adults. The hope is to use the hormone levels as an ...

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DML Contracting

36 Half Moon Lane. T 020 7924 0800. F 020 7924 0335. DML Contracting is one of London’s most reputable and experienced building, refurbishment and maintenance contractors. Our success is due to the unwavering commitment of our staff to ensure quality and best practice at all times. It is their skills, experience and commitment that give us the competitive edge, and our clients the best service and support available.