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Average Ratings 0 Ratings

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ease
features
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support

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Description

Audio Muse serves as a versatile online platform for audio processing, providing a wide range of tools for tasks such as music editing, AI-driven music creation, vocal extraction, and background noise elimination. Its user-friendly interface caters to individuals with varying degrees of expertise, enabling them to effortlessly trim, merge, and convert audio files, as well as modify key and BPM, apply effects, and create royalty-free music with the help of advanced AI technology. With AI Music Generation, users can effortlessly design unique music tracks or songs that align with specific vibes, moods, or styles utilizing cutting-edge AI capabilities. The platform also boasts a comprehensive selection of audio editing utilities, including an Audio Trimmer, Audio Merger, and Audio Converter, alongside effects like Fade In and Fade Out to enhance the listening experience. Additionally, the advanced Vocal Removal and Noise Reduction features empower users to either extract vocal elements or effectively eliminate unwanted background noise from their audio recordings. Overall, the intuitive design of the platform ensures that navigating through its diverse features is a smooth experience for everyone, enhancing creativity in music production.

Description

AudioCraft serves as a comprehensive codebase tailored for all your generative audio requirements, including music, sound effects, and compression, following its training on raw audio signals. By utilizing AudioCraft, we enhance the design of generative audio models significantly compared to earlier methodologies. Both MusicGen and AudioGen rely on a unified autoregressive Language Model (LM) that functions across streams of compressed discrete music representations known as tokens. We propose a straightforward technique to exploit the intrinsic structure of the parallel token streams, demonstrating that with a single model and a refined interleaving pattern, we can effectively model audio sequences while capturing long-term dependencies, resulting in the generation of high-quality audio outputs. Our models utilize the EnCodec neural audio codec to derive discrete audio tokens from the raw waveform, with EnCodec transforming the audio signal into multiple parallel streams of discrete tokens. This innovative approach not only streamlines audio generation but also enhances the overall efficiency and quality of the output.

API Access

Has API

API Access

Has API

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$9.90/month
Free Trial
Free Version

Pricing Details

No price information available.
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

Audio Muse

Founded

2024

Country

China

Website

audiomuse.ai/

Vendor Details

Company Name

Meta AI

Founded

2004

Country

United States

Website

audiocraft.metademolab.com

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