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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
AudioLM is an innovative audio language model designed to create high-quality, coherent speech and piano music by solely learning from raw audio data, eliminating the need for text transcripts or symbolic forms. It organizes audio in a hierarchical manner through two distinct types of discrete tokens: semantic tokens, which are derived from a self-supervised model to capture both phonetic and melodic structures along with broader context, and acoustic tokens, which come from a neural codec to maintain speaker characteristics and intricate waveform details. This model employs a series of three Transformer stages, initiating with the prediction of semantic tokens to establish the overarching structure, followed by the generation of coarse tokens, and culminating in the production of fine acoustic tokens for detailed audio synthesis. Consequently, AudioLM can take just a few seconds of input audio to generate seamless continuations that effectively preserve voice identity and prosody in speech, as well as melody, harmony, and rhythm in music. Remarkably, evaluations by humans indicate that the synthetic continuations produced are almost indistinguishable from actual recordings, demonstrating the technology's impressive authenticity and reliability. This advancement in audio generation underscores the potential for future applications in entertainment and communication, where realistic sound reproduction is paramount.
API Access
Has API
API Access
Has API
Screenshots View All
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Integrations
Google Opal
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
Country
United States
Website
research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/
