The sound gears: Logic Pro X on iMac with Intel Core i7, iRigKEYS, Fender STRATOCASTER, VOCALOID Hatsune Miku V3 English Bandle, Kellie Allen vocal sessions, Zefora Ethereal voices. Thanks to Loopmasters and MusicRadar. All scores are originals and some of them are covers. I am interested in chords…
Dream A Dream They say there's a dream. The one, they say a dream that we did. The one you've been waiting. Come along to the sweet we burst. Come and carve your name next to mine. They say if you kiss, they say there's a dream. The one you've been waiting, a dream, we burst into sight. Come along to the sweet that we did. Come and carve your name next to mine. They say a dream. 夢をみよう 夢があるという、それは私たちが見た夢だという。 あなたがずっと待っていた夢だ。 私たちが爆発する甘い夢に来なさい。 私の名前の隣にあなたの名前を刻みに来て。 キスをすれば夢があるという。 あなたがずっと待っていた夢、私たちが突然現れた夢だ。 私たちが見た甘い夢に来なさい。 私の名前の隣にあなたの名前を刻みに来て。 夢だという。
Happy Christmas! LogicProX + Vocaloid6 AI
Would i stop going to school today! by Start by Keizo Akutagawa
This is one of my favorite orchestration, which was made on Logic Pro with musescore. https://musescore.com
VOCALOID6 AI with Chris and Roll Studio Player on Logic Pro X
Just like your eyes Mир by Start by Keizo Akutagawa
Thanks to VOCAL from ICONICAL VOCAL ACAPELLAS VOLUME 2 by LOOPMASTER
played by Stratocaster and thanks to ICONICAL VOCAL ACAPELLAS by Loopmasters
This melody line playing on the piano was composed by AI with deep learning algorithm which used standalone Keras with a Tensorflow 1.14 backend. It was trained by Beatles song "Michelle" MIDI notes divided into 12 bars and played with "Michelle" accompaniment on LogicPro X. Using the method of extracting the characteristics of the composer by calculating the probability distribution of the pitch and length of the note that comes after each note. The official code repository for examples in the O'Reilly book 'Generative Deep Learning' https://learning.oreilly.com/library/view/generative-deep-learning/9781492041931/ https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947/ref=sr_1_1
This music was composed by AI with deep learning algorithm which used standalone Keras with a Tensorflow 1.14 backend. It was trained by Bach's four-tone chorus dataset of 229 songs and played on LogicPro X. Using the method of extracting the characteristics of the composer by calculating the probability distribution of the pitch and length of the note that comes after each note. The official code repository for examples in the O'Reilly book 'Generative Deep Learning' https://learning.oreilly.com/library/view/generative-deep-learning/9781492041931/ https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947/ref=sr_1_1
Imagine has good lyrics and melody, and also the background is so cool. Logic Pro X regenerates it at 8th December 2020.
The Sweet Heart Tree from The Great Race by Start by Keizo Akutagawa
Composed on GarageBand https://youtu.be/EHPcHir8BxE
Just like your eyes 2020 by Start by Keizo Akutagawa
I tried to put the strings part on DTM over "Brian May: My Bijou Microconcert no 13-5 April 2020" https://youtu.be/JGE1K23q-Q0
Lullaby for the Kid with the Candy by Start by Keizo Akutagawa
All Moments Blink Just Like Your Eyes by Start by Keizo Akutagawa
Happy Christmas https://open.spotify.com/track/5AEqkBATLjTo6GJjbRYmoi