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Description

We are excited to unveil Jukebox, a cutting-edge neural network designed to create music, including basic vocalization, in diverse genres and artistic expressions as raw audio. Alongside the release of the model weights and code, we are offering a tool to help users explore the music samples generated by Jukebox. By inputting genre, artist, and lyrics, users can receive entirely new music pieces crafted from the ground up. Jukebox is capable of producing a vast array of musical and vocal styles, and it can also generalize to lyrics that were not part of the training dataset. The lyrics included here have been collaboratively crafted by researchers at OpenAI and a language model. When provided with lyrics from its training set, Jukebox generates songs that diverge significantly from the originals, showcasing its creative capabilities. Users can input a 12-second audio clip for Jukebox to build upon, with the final output reflecting a desired style. Our focus on music stems from a desire to advance the potential of generative models further. Utilizing a quantization-based approach called VQ-VAE, Jukebox’s autoencoder model effectively compresses audio into a discrete latent space, enabling innovative sound generation. As we continue to refine these technologies, we look forward to the creative possibilities that lie ahead.

Description

TidyTag is a robust and flexible music tagging tool that enables users to create or modify ID3 tags in their music collections while also eliminating duplicate tracks from their libraries. Are you frustrated by incomplete or incorrectly labeled song information in your music collection? This application addresses all your needs related to music organization, making it ideal for musicians, DJs, and music lovers alike. Upon importing an audio file, TidyTag will promptly showcase the relevant metadata tags. You can effortlessly adjust metadata details such as the song title, album, artist, release year, genre, track number, cover art, lyrics, and any other information that may be incorrect or missing. Additionally, it offers the convenience of batch processing, allowing you to correct or fill in several tags simultaneously. To maintain a well-organized music library and audio files, it is essential to have properly formatted names and an orderly folder structure. TidyTag facilitates the renaming of audio files based on the tag information, ensuring consistency. Moreover, it automatically detects and filters out duplicate songs that share the same file path during the addition of new tracks, thus retaining only one copy for a cleaner library. With TidyTag, your music collection can not only be more organized but also richer in accurate details.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure
OpenAI
iTunes

Integrations

Microsoft Azure
OpenAI
iTunes

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$9.95 per 3 months
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com/blog/jukebox/

Vendor Details

Company Name

iTubeGo

Country

China

Website

itubego.com/id3-music-tag-editor-54/

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