Music AI development -Read the POST WELL"Long Term Work
Budget: $3,000 – $5,000 USD
Greetings,
We are currently seeking a highly skilled developer proficient in creating Music AI solutions tailored for internal use. Our requirements encompass a broad spectrum of music genres, including Jazz, Pop, and House, along with an extensive array of instruments and effects necessary for comprehensive training purposes.
Our existing tool is meticulously crafted with the following specifications:
Frontend:
WPF (Windows Presentation Foundation)
Backend:
Python
Database and API:
Django and MongoDB
Outlined below are the specific features and functionalities we aim to integrate:
Training Tool (MP3 and WAV):
The tool must possess robust capabilities to undergo rigorous training using an extensive library of assets, spanning diverse music styles, instruments, and effects. Its core functionality should revolve around an adaptive learning model, allowing it to dynamically evolve and refine its understanding of musical nuances as we actively engage in music listening sessions.
Remix Creation (MP3 and WAV):
We should have seamless access to select between 5 to 10 tracks from our comprehensive archives. Upon selection, the tool should intelligently synthesize these chosen tracks, generating innovative remix examples that exhibit a harmonious blend of the selected elements. We should be afforded granular control over parameters such as effects, instruments, and song duration to tailor the remixes according to our creative vision.
New Song Composition (MP3 and WAV):
Empowering us to unleash our creativity, the tool should facilitate the composition of original musical compositions. We should have the ability to input custom lyrics, select from a diverse range of instruments, music styles, effects, and vocal variations. Furthermore, we should be able to assign specific characters to produce the song, adding a unique narrative dimension to the composition process. The tool should present us with a curated selection of example compositions, available for download in MP3 format.
Song Reconstruction (MP3 and WAV):
Enabling us to breathe new life into existing musical compositions, the tool should offer intuitive features for song reconstruction. We should have the option to modernize aging compositions by seamlessly integrating elements such as bass lines and additional instruments while preserving the original song's temporal structure. A repository of diverse reconstruction examples should be made available for us to browse, select, and download according to our preferences.
Video Clip Reconstruction (MP4 and others):
Parallel to song reconstruction, we should have the capability to contemporize outdated video clips by incorporating musical enhancements seamlessly. The tool should offer an intuitive interface for integrating elements like bass lines and additional instruments into existing video content while preserving the original video's temporal structure. A diverse array of reconstruction examples should be accessible for us to explore, facilitating seamless integration into our multimedia projects.
We need Voices ,and about Instrument we will use the Tarining to train single Instruments.
What is ur Job:
Well we need in the Backend if we face issue we will ask u to resolve it and u have to create AI for that so that we can work with our Tool .
We are currently seeking a highly skilled developer proficient in creating Music AI solutions tailored for internal use. Our requirements encompass a broad spectrum of music genres, including Jazz, Pop, and House, along with an extensive array of instruments and effects necessary for comprehensive training purposes.
Our existing tool is meticulously crafted with the following specifications:
Frontend:
WPF (Windows Presentation Foundation)
Backend:
Python
Database and API:
Django and MongoDB
Outlined below are the specific features and functionalities we aim to integrate:
Training Tool (MP3 and WAV):
The tool must possess robust capabilities to undergo rigorous training using an extensive library of assets, spanning diverse music styles, instruments, and effects. Its core functionality should revolve around an adaptive learning model, allowing it to dynamically evolve and refine its understanding of musical nuances as we actively engage in music listening sessions.
Remix Creation (MP3 and WAV):
We should have seamless access to select between 5 to 10 tracks from our comprehensive archives. Upon selection, the tool should intelligently synthesize these chosen tracks, generating innovative remix examples that exhibit a harmonious blend of the selected elements. We should be afforded granular control over parameters such as effects, instruments, and song duration to tailor the remixes according to our creative vision.
New Song Composition (MP3 and WAV):
Empowering us to unleash our creativity, the tool should facilitate the composition of original musical compositions. We should have the ability to input custom lyrics, select from a diverse range of instruments, music styles, effects, and vocal variations. Furthermore, we should be able to assign specific characters to produce the song, adding a unique narrative dimension to the composition process. The tool should present us with a curated selection of example compositions, available for download in MP3 format.
Song Reconstruction (MP3 and WAV):
Enabling us to breathe new life into existing musical compositions, the tool should offer intuitive features for song reconstruction. We should have the option to modernize aging compositions by seamlessly integrating elements such as bass lines and additional instruments while preserving the original song's temporal structure. A repository of diverse reconstruction examples should be made available for us to browse, select, and download according to our preferences.
Video Clip Reconstruction (MP4 and others):
Parallel to song reconstruction, we should have the capability to contemporize outdated video clips by incorporating musical enhancements seamlessly. The tool should offer an intuitive interface for integrating elements like bass lines and additional instruments into existing video content while preserving the original video's temporal structure. A diverse array of reconstruction examples should be accessible for us to explore, facilitating seamless integration into our multimedia projects.
We need Voices ,and about Instrument we will use the Tarining to train single Instruments.
What is ur Job:
Well we need in the Backend if we face issue we will ask u to resolve it and u have to create AI for that so that we can work with our Tool .