MusicFX Description
MusicFX is an innovative AI application that transforms your creative ideas into music. By simply providing a few descriptive phrases, you can produce distinct instrumental tracks in a matter of seconds. This tool is powered by Google's MusicLM and incorporates Google DeepMind’s advanced watermarking technology called SynthID, which embeds a digital watermark in its musical outputs. You have the ability to convert text descriptions into musical compositions, allowing you to directly witness the capabilities of generative AI technology. However, it's important to recognize that this technology may encounter certain challenges, such as generating responses that are inaccurate or unsuitable. To address these concerns, we have implemented multiple layers of safeguards to reduce potential risks while enhancing your creative experience. Ultimately, MusicFX represents a significant leap forward in the intersection of technology and artistic expression.
MusicFX Alternatives
Muzaic
A tool to help you create music for your video. Your unique soundtrack is ready in just one minute and includes copyright protection. Composed by AI, and recorded by professional musicians.
How does it work? It only takes a few clicks!
Upload your video
Set "mood", "motive", or both
Here it is... wait a minute!
Our key features are:
You don't need to edit, adjust or mix anything. Your soundtrack is created live and matched with the video you upload.
You can choose the style and mood you want. You can change the rhythmicity and variation of the soundtrack at any time.
We are very proud of the music that we offer. The music was recorded by professionals to reflect our approach to creating music and our process.
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Google Cloud Speech-to-Text
An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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SynthGPT
SynthGPT, created by Fadr, is an innovative VST audio plugin that allows users to craft playable instruments simply by providing text descriptions of their desired sounds. By generating a selection of 100 sound options based on these descriptions, SynthGPT enhances the sound design experience and encourages creative exploration. This versatile plugin is designed to work seamlessly with all major Digital Audio Workstations (DAWs) and operating systems, offered in VST3 format for Windows and both VST3 and audio unit formats for Mac. Currently, the plugin is in its active development phase and is available in beta to subscribers of Fadr Plus, who can easily download it from their account page under the "plugins" section. Fadr Plus is a subscription service that costs $10 per month or $100 annually, providing users with access to Fadr's cutting-edge music technology, including SynthGPT. While an internet connection is necessary for the initial login and for retrieving new sound options, users can utilize a loaded sound offline indefinitely after the first download. This functionality allows musicians to work on their projects without worrying about connectivity issues once their sounds are set.
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MuseNet
We have developed MuseNet, an advanced deep neural network capable of producing 4-minute musical pieces featuring 10 distinct instruments, while seamlessly merging genres ranging from country to the classical compositions of Mozart and even the iconic sounds of the Beatles. Rather than being programmed with musical knowledge, MuseNet identifies and learns patterns of harmony, rhythm, and style through the process of predicting the subsequent token in a vast collection of MIDI files. This innovative model employs the same unsupervised technology as GPT-2, a robust transformer model designed to anticipate the next token in a sequence, whether it pertains to audio or text. Thanks to MuseNet's understanding of diverse musical styles, we are able to create unique blends of musical generations. We eagerly anticipate the creative ways in which both musicians and those without formal training will leverage MuseNet to craft original compositions! Users can select a composer or style and optionally begin with a well-known piece, allowing them to delve into the rich array of musical styles that the model can produce. This opens up exciting possibilities for artistic exploration and experimentation.
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Integrations
Company Details
Company:
Google
Year Founded:
1998
Headquarters:
United States
Website:
aitestkitchen.withgoogle.com/tools/music-fx
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
MusicFX Features and Options
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