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What is AudioLM?

AudioLM represents a groundbreaking advancement in audio language modeling, focusing on the generation of high-fidelity, coherent speech and piano music without relying on text or symbolic representations. It arranges audio data hierarchically using two unique types of discrete tokens: semantic tokens, produced by a self-supervised model that captures phonetic and melodic elements alongside broader contextual information, and acoustic tokens, sourced from a neural codec that preserves speaker traits and detailed waveform characteristics. The architecture of this model features a sequence of three Transformer stages, starting with the semantic token prediction to form the structural foundation, proceeding to the generation of coarse tokens, and finishing with the fine acoustic tokens that facilitate intricate audio synthesis. As a result, AudioLM can effectively create seamless audio continuations from merely a few seconds of input, maintaining the integrity of voice identity and prosody in speech as well as the melody, harmony, and rhythm in musical compositions. Notably, human evaluations have shown that the audio outputs are often indistinguishable from genuine recordings, highlighting the remarkable authenticity and dependability of this technology. This innovation in audio generation not only showcases enhanced capabilities but also opens up a myriad of possibilities for future uses in various sectors like entertainment, telecommunications, and beyond, where the necessity for realistic sound reproduction continues to grow. The implications of such advancements could significantly reshape how we interact with and experience audio content in our daily lives.

What is Audio Muse?

Audio Muse is an adaptable online platform tailored for audio processing, offering a comprehensive suite of tools for tasks such as music editing, AI-powered music creation, vocal extraction, and noise reduction. Its intuitive interface caters to both novices and seasoned professionals, allowing users to manipulate audio files through functions like trimming, merging, format conversion, as well as adjusting key and BPM, applying effects, and even generating royalty-free music with cutting-edge AI technology. One of the standout features is its AI Music Generation capability, where users can create custom tracks or songs that reflect their desired mood, emotion, or style. The platform boasts an extensive array of audio editing tools, including an Audio Trimmer, Audio Merger, and Audio Converter, complemented by effects such as Fade in and Fade out to enhance artistic expression. Furthermore, its advanced vocal removal and noise suppression functions enable users to effectively isolate vocals or remove unwanted ambient noise. Ultimately, Audio Muse excels by merging powerful functionalities with a user-friendly interface, ensuring that everyone, regardless of their skill set, can enjoy a seamless and efficient audio editing journey, fostering creativity and innovation in music production.

Media

Media

No images available

Integrations Supported

Opal

Integrations Supported

Opal

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$9.90/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Company Location

United States

Company Website

research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/

Company Facts

Organization Name

Audio Muse

Date Founded

2024

Company Location

China

Company Website

audiomuse.ai/

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