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Education, Literary
Shlomo Dubnov Ross Greer Deep and Shallow Machine Learning in Music and Audio PDF screenshot
PDF | ISBN: 9781003240198 | 14 MB
Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our devices may come to recognize particular sonic patterns as musically meaningful or creative through the lens of information theory.

Introducing popular fundamental ideas in AI at a comfortable pace, more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarize readers with practical implications of discussed theory, without the frustrations of free-form coding.

Surveying state-of-the art methods in applications of deep neural networks to audio and sound computing, as well as offering a research perspective that suggests future challenges in music and AI research, this book appeals to both students of AI and music, as well as industry professionals in the fields of machine learning, music, and AI.


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comments

  Resident 21.04.2014 1591
+330
Since noadays human intelligence is not producing good music and contaminated the orient and all of Asia, just using simple chords with a lot of shouting and melismas stuffed with a lot of rhythmic noise to hide the defects and bad singers as composed by the Swedish 'Max Martin'. Perhaps artificial intelligence (AI) will already be useful since human intelligence is no longer working.

But, the incredible thing is that it has become fashionable to talk about A.I., everyone sells more products nowadays relying on artificial intelligence, which reflects the lack of human confidence in intelligence itself, which between us, our intelligence was not made to work , but, it works from time to time.

In other words, much of the (AI) sold today is a lie, it is pure false marketing.

The worst thing is that all (AI) is based on ideas from the past, everything that has been thought of by human beings to date, that is, a continuation of the same ideas reduced to a few simple algorithms. Our tendency now is to believe that everything is (AI), with simple algorithms doing the heavy lifting.

Around 1985 in Germany, they put all the baroque counterpoint algorithms into those prehistoric computers, and put the same 'cantus firmus' melodic lines as 'Johann Sebastin Bach' used as the basis of the counterpoint
Result: The computer generated 'n' possibilities perfectly, every result was performed by a string quartet and symphony orchestra and compared to Bach's original. Although there were no errors in counterpoint, Bach's original works were still more beautiful and musical than those generated by computers. But all of that cannot be called artificial intelligence as they like to use it today, they are simple algorithms like a handheld calculator. Beethoven used the same counterpoint as Bach, but he changed some notes according to his personal taste, which is considered an error in counterpoint, but he wanted it that way.

I think a little literature will help us understand the differences between: conventions, rules, laws, algorithms and artificial intelligence, as each thing is different from the other.

The French Ravel and especially Eric Satie did not want to follow the musical conventions of their time, and entered the history of humanity.

Maybe making mistakes is part of natural intelligence, maybe forcing mistakes to escape rules and laws is more intelligent.

Soon other software will appear with these same ideas, but please, don't believe that it is A.I, use your natural intelligence and don't fall for it.

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