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High Noon GMT | Oh, to be torn 'twixt love an' tenure

Oh, to be torn 'twixt love an' tenure (by Bob L. Sturm)

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High Noon GMT | Oh, to be torn 'twixt love an' tenure | highnoongmt.wordpress.com Reviews

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Oh, to be torn 'twixt love an' tenure (by Bob L. Sturm)

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About | High Noon GMT

https://highnoongmt.wordpress.com/about

Oh, to be torn 'twixt love an' tenure. I am currently a Lecturer in Digital Media at the School of Electronic Engineering and Computer Science at Queen Mary University of London. My research interests include digital signal processing for sound and music signals, machine listening, and evaluation. Here’s my google scholar page. I also waterpaint while I run. Click to print (Opens in new window). Click to email (Opens in new window). Share on Facebook (Opens in new window). 5 thoughts on “ About. I’...

2

Deep learning for assisting the process of music composition (part 3) | High Noon GMT

https://highnoongmt.wordpress.com/2015/08/13/deep-learning-for-assisting-the-process-of-music-composition-part-3

Oh, to be torn 'twixt love an' tenure. Deep learning for assisting the process of music composition (part 3). August 13, 2015. By Bob L. Sturm. This is part 3 of my explorations of using deep learning for assisting the process of music composition. In this part, I look at creating things other than strict folk tunes with a model trained by deep learning methods on over 23,000 folk tunes. Part 1 is here. Part 2 is here. Does the world really need tens of thousands of new reels and jigs? And it gave me the...

3

The Infinite Irish Trad Session | High Noon GMT

https://highnoongmt.wordpress.com/2015/08/07/the-infinite-irish-trad-session

Oh, to be torn 'twixt love an' tenure. The Infinite Irish Trad Session. August 7, 2015. By Bob L. Sturm. My colleague João Felipe Santos. And I found some summertime to create:. The Infinite Irish Trad Session. Our interests converged when we both took Andrej Karpathy’s RNN code. And applied it to learning to generate ABC music in traditional styles. So João grabbed all the tunes he could from The Session. And finally mix it all together and add effects with sox. Hope you have some craic! Click to share ...

4

“Lisl’s Stis”: Recurrent Neural Networks for Folk Music Generation | High Noon GMT

https://highnoongmt.wordpress.com/2015/05/22/lisls-stis-recurrent-neural-networks-for-folk-music-generation

Oh, to be torn 'twixt love an' tenure. 8220;Lisl’s Stis”: Recurrent Neural Networks for Folk Music Generation. May 22, 2015. By Bob L. Sturm. Addendum (Aug 2 2016):. The following links show how this work has developed. Deep learning for assisting the process of music composition (part 4). The Endless Traditional Music Session. Tis the season for some deep carols. My composition, “ Eight Short Outputs. Inspired by this blog post on recurrent neural networks (RNN). These are of course short tunes that I h...

5

Deep learning for assisting the process of music composition (part 1) | High Noon GMT

https://highnoongmt.wordpress.com/2015/08/11/deep-learning-for-assisting-the-process-of-music-composition-part-1

Oh, to be torn 'twixt love an' tenure. Deep learning for assisting the process of music composition (part 1). August 11, 2015. By Bob L. Sturm. This is part 1 of my explorations of using deep learning for assisting the process of music composition. In this part, I look at some almost-winning output of a model trained by deep learning methods on over 23,000 folk tunes, and make improvements to produce a session-ready piece. Lisl’s Stis : Recurrent Neural Networks for Folk Music Generation. The prospect of...

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CIS - Centre for Intelligent Sensing, Queen Mary University of London

http://cis.eecs.qmul.ac.uk/publications.html

T Aboufoul and A. Alomainy, Reconfiguring UWB monopole antenna for cognitive radio applications using GaAs FET switches. IEEE Antennas and Wireless Propagation Letters, Vol. 11, 2012, pp. 392-394. Q H Abbasi, A. Sani, A. Alomainy, Y. Hao, Numerical characterization and modeling of subject-specific ultrawideband body-centric radio channels and systems for healthcare applications. IEEE Trans. on Information Technology in Biomedicine, Vol. 16, No. 2, March 2012, pp. 221-227. W J Peveler, R. Binions, S&#...

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» Les

http://www.berkeleynoise.com/celesteh/podcast/author/les

Les – Music by Charles Céleste HUTCHINS. Music by Charles Céleste HUTCHINS. New Electronic and Acoustic Sounds. Installations & Projects. 2016: 12 Days of Crimbo. 2005: Political Voices and Just. Shorts #39: Something Happy. Shorts #39: Something Happy (2016) Commissioned and titled by sevenhelz in honour of Deathboy. This piece is influenced by the Vaporwave genre …. Podcast: Play in new window. Duration: 1:02 — 1.9MB). Shorts #38: distant scritches. Podcast: Play in new window. The Figgy Pudding Incide...

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» Bio

http://www.berkeleynoise.com/celesteh/podcast/presskit/bio

Bio – Music by Charles Céleste HUTCHINS. Music by Charles Céleste HUTCHINS. New Electronic and Acoustic Sounds. Installations & Projects. 2016: 12 Days of Crimbo. 2005: Political Voices and Just. Charles Céleste Hutchins was born in San Jose, California in 1976, and lives in London, England. Concentrated on live laptop performance, especially in an ensemble setting. All of his work contains an openness to unpredictability and a possibility of crashing. He has performed in North America in the San Francis...

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The Beats of Bitterns | Glimpses of a fascinating world

https://mathcination.wordpress.com/2016/04/25/the-beats-of-bitterns

Glimpses of a fascinating world. Every now and then I catch fascinating (often mathematical) glimpses of the world and I wish to share. The Beats of Bitterns. In my PhD thesis. And in the paper Detecting bird sounds in a complex acoustic environment and application to bioacoustic monitoring. I have proposed a simple yet robust algorithm for automatically detecting calls of the Eurasian bittern in the wild. Without further ado, I would like to share it (public domain):. How Algebra Sheds Light on Things.

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Pythagoras and the Kids | Glimpses of a fascinating world

https://mathcination.wordpress.com/2015/07/06/pythagoras-and-the-kids

Glimpses of a fascinating world. Every now and then I catch fascinating (often mathematical) glimpses of the world and I wish to share. Pythagoras and the Kids. Yesterday, when playing with the kids, I found Mr. Pythagoras. Unexpectedly in their room. For a fraction of a second, I wondered why the Lego fence would fit perfectly across. Then, I saw that I had produced an instance of the 3-4-5 triangle. Euler and the Kids →. One thought on “ Pythagoras and the Kids. Leave a Reply Cancel reply.

mathcination.wordpress.com mathcination.wordpress.com

Euler and the Kids | Glimpses of a fascinating world

https://mathcination.wordpress.com/2015/09/10/euler-and-the-kids

Glimpses of a fascinating world. Every now and then I catch fascinating (often mathematical) glimpses of the world and I wish to share. Euler and the Kids. Being on parental leave, somewhat naturally, gave me more time to spend in the kids’ room. After a chance encounter with Mr Pythagoras. There some time ago, it was now time for a scheduled meeting with Mr Euler. The configuration in the image to this post is known to young parents as an Oball. To mathematicians, it is known as the truncated icosahedron.

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Blog | Rhapsody in µ | Music, Machine Learning, and Statistics… shaken, and stirred

https://rhapsodyinmu.wordpress.com/blog

Music, Machine Learning, and Statistics… shaken, and stirred. Comments No Comments on Publishing WP blog posts directly from RStudio! Publishing WP blog posts directly from RStudio! Recently I have been working quite a bit in RStudio. Not only to write. Code but also to create really useful interactive reports. It already was my favourite IDE, but since they introduced the notebook. Functionality, it has become an amazing multi-purpose research tool! On my WordPress blog. Creator Yihiu Xie’s webpage.

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About | Rhapsody in µ

https://rhapsodyinmu.wordpress.com/about

Music, Machine Learning, and Statistics… shaken, and stirred. PhD candidate @ C4DM. Currently attempting to improve the evaluation practices in Music Information Retrieval (MIR). Will mainly post about music, machine learning and statistics, and how everything ties together to check whether an artificial system manages to understand music or not (if that is even feasible). PhD Student @ C4DM. View Full Profile →. View francisco.rodriguez.algarra’s profile on Facebook.

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» GrainPic

http://www.berkeleynoise.com/celesteh/podcast/projects/grainpic

GrainPic – Music by Charles Céleste HUTCHINS. Music by Charles Céleste HUTCHINS. New Electronic and Acoustic Sounds. Installations & Projects. 2016: 12 Days of Crimbo. 2005: Political Voices and Just. This program requires the Conductor quark (by Ron Kuivila). There are two files: scribble.rtf. The best place to put Cloud.sc is /Library/Application Support/SuperCollider/Extensions/Les/ (create it if it doesn’t exist) or, alternately, you can drop it in SC/SCClassLibrary. Is an mp3 created with this tool.

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High Noon GMT | Oh, to be torn 'twixt love an' tenure

Oh, to be torn 'twixt love an' tenure. Deep learning for assisting the process of music composition (part 4). August 15, 2015. By Bob L. Sturm. This is part 4 of my explorations of using deep learning for assisting the process of music composition. In this part, I look at the process of composition using a model built using deep learning methods on over 23,000 folk tunes. Part 1 is here. Part 2 is here. Part 3 is here. As was one motivation for David Cope. Here is its output:. T: Oik In The Watslan.

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