Inprov.ai
Inprov.ai
Inprov.ai
Inprov.ai
2019
2019
2019
2019
Music software with a mind of it’s own. Co-produce, Co-write & Collab with artificial intelligence.
Music software with a mind of it’s own. Co-produce, Co-write & Collab with artificial intelligence.
Music software with a mind of it’s own. Co-produce, Co-write & Collab with artificial intelligence.
Music software with a mind of it’s own. Co-produce, Co-write & Collab with artificial intelligence.
Discover ↓
Python
UX/UI Design
Graphic Design
Brand Design
Machine Learning
Python
UX/UI Design
Graphic Design
Brand Design
Machine Learning
Overview
Overview
Overview
01.
The project.
I coded a primitive artificial intelligence prototype that creates music. Inprov translates MIDI data into a style model. The music AI engine then generates original music based upon those dataset.
01.
The project.
I coded a primitive artificial intelligence prototype that creates music. Inprov translates MIDI data into a style model. The music AI engine then generates original music based upon those dataset.
01.
The project.
I coded a primitive artificial intelligence prototype that creates music. Inprov translates MIDI data into a style model. The music AI engine then generates original music based upon those dataset.
01.
The project.
I coded a primitive artificial intelligence prototype that creates music. Inprov translates MIDI data into a style model. The music AI engine then generates original music based upon those dataset.
02.
Intuitive intent.
This prototype effectively showcased the value of music AI engines to potential investors, who would provide the necessary funding for further research and development of the project. Inprov has been meticulously designed to offer versatility and accessibility, catering to both mobile and desktop platforms, thereby expanding its usability and flexibility.
02.
Intuitive intent.
This prototype effectively showcased the value of music AI engines to potential investors, who would provide the necessary funding for further research and development of the project. Inprov has been meticulously designed to offer versatility and accessibility, catering to both mobile and desktop platforms, thereby expanding its usability and flexibility.
02.
Intuitive intent.
This prototype effectively showcased the value of music AI engines to potential investors, who would provide the necessary funding for further research and development of the project. Inprov has been meticulously designed to offer versatility and accessibility, catering to both mobile and desktop platforms, thereby expanding its usability and flexibility.
03.
Prototyping process.
Investigating the educational resources of Google TensorFlow, I utilized modules to develop and employ an AI that performs imaginative functions. As a result, I established an AI system that “comprehends” and “tunes in” to the provided musical style models, subsequently generating unique tunes.
03.
Prototyping process.
Investigating the educational resources of Google TensorFlow, I utilized modules to develop and employ an AI that performs imaginative functions. As a result, I established an AI system that “comprehends” and “tunes in” to the provided musical style models, subsequently generating unique tunes.
03.
Prototyping process.
Investigating the educational resources of Google TensorFlow, I utilized modules to develop and employ an AI that performs imaginative functions. As a result, I established an AI system that “comprehends” and “tunes in” to the provided musical style models, subsequently generating unique tunes.
04.
Listen!
Listen to this track generated by the music AI. This minor chord sample was produced by the AI after “listening” to two datasets.
0:00/1:34
04.
Listen!
Listen to this track generated by the music AI. This minor chord sample was produced by the AI after “listening” to two datasets.
0:00/1:34
04.
Listen!
Listen to this track generated by the music AI. This minor chord sample was produced by the AI after “listening” to two datasets.
0:00/1:34
PR
PR
PR
01.
Will.I.Am
Traction. Press.
Susan Oh, the head of Blockchain for Impact (BFI) at the United Nations, introduced inprov.ai to Will.i.am during a DARPA event. Both Oh and Will.i.am demonstrated their support by creating and sharing a video, effectively amplifying the project's visibility.
01.
Will.I.Am
Traction. Press.
Susan Oh, the head of Blockchain for Impact (BFI) at the United Nations, introduced inprov.ai to Will.i.am during a DARPA event. Both Oh and Will.i.am demonstrated their support by creating and sharing a video, effectively amplifying the project's visibility.
01.
Will.I.Am
Traction. Press.
Susan Oh, the head of Blockchain for Impact (BFI) at the United Nations, introduced inprov.ai to Will.i.am during a DARPA event. Both Oh and Will.i.am demonstrated their support by creating and sharing a video, effectively amplifying the project's visibility.
i.
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