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Over the last several years, a new area of research called deep learning has taken the machine learning community by storm, delivering very promising results in all areas of speech and image recognition. However, one missing link is the lack of an accessible and easy-to-use open-source deep learning library for the music and/or audio research community. In this post we will introduce you to scientific articles, thesis and reports that use deep learning approaches applied to music. The documents are generally in PDF formats, sorted by years and paired with source codes if they’re available.

Ranger’s Reprieve: Jess is home from active service, safe, sound, and missing one arm. Coming to terms with his past is killing him, until Lindsey arrives at his door. He tries to brush off his feelings for the gorgeous, down-to-earth dog trainer but the attraction is strong. Between the dog and the girl, Jess finds himself hoping for peace and the love of a good woman.

Second Honeymoonby Mark SouzaWhen Jack Duncan finds out his wife changed the terms of her life insurance policy, he's not a...

This Special Issue gathers 20 fine contributions on audio signal processing, a topic which belongs to the Applied Acoustics section in this journal, Applied Sciences. These articles include revised and extended versions of three papers which won Best Paper Awards at the 2015 International Conference on Digital Audio Effects (DAFX-15) and also new versions of three papers which were presented at the 2015 International Computer Music Conference (ICMC-15).

From a 100-year old theater converted into a library, to a personal library housing over 70,000 books. This is by no chance a complete list, but a pretty good start on where all bookworms can get their reading gears deployed. Perhaps a good bucket list?