AudioLM

AudioLM

Google
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About

AudioLM is a pure audio language model that generates high‑fidelity, long‑term coherent speech and piano music by learning from raw audio alone, without requiring any text transcripts or symbolic representations. It represents audio hierarchically using two types of discrete tokens, semantic tokens extracted from a self‑supervised model to capture phonetic or melodic structure and global context, and acoustic tokens from a neural codec to preserve speaker characteristics and fine waveform details, and chains three Transformer stages to predict first semantic tokens for high‑level structure, then coarse and finally fine acoustic tokens for detailed synthesis. The resulting pipeline allows AudioLM to condition on a few seconds of input audio and produce seamless continuations that retain voice identity, prosody, and recording conditions in speech or melody, harmony, and rhythm in music. Human evaluations show that synthetic continuations are nearly indistinguishable from real recordings.

About

Papercup’s award-winning machine learning engine produces synthetic voices that sound like human actors. We’ve developed an award-winning machine learning text-to-speech system that has been backed by organizations like Innovate UK. Our in-house research team has published several papers, been granted patents and continues to be at the forefront of this new technology’s development. The synthetic voices that our system produces are extremely lifelike and even capture some of the nuances of the original speaker’s vocal traits. The new voice is controlled and adapted by our translation team to make it indistinguishable from a native speaker of that language. One of the key features of our patented speech synthesis solution is the range of voices and styles that we can generate. Our software gives you more control than ever before, meaning we can generate customized voices that suit each content creator or brand.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Audio researchers and developers needing a solution for creating realistic speech and music continuations directly from raw audio

Audience

Anyone in need of an AI-powered video localization solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Papercup
Founded: 2017
United Kingdom
www.papercup.com

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AudioCraft

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Seed-Music

Seed-Music

ByteDance
Synthesys

Synthesys

Synthesys AI Studio
Qwen3-TTS

Qwen3-TTS

Alibaba
Melodea

Melodea

Audoir

Categories

Categories

Integrations

Google Opal

Integrations

Google Opal
Claim AudioLM and update features and information
Claim AudioLM and update features and information
Claim Papercup and update features and information
Claim Papercup and update features and information