AudioLMGoogle
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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.
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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.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPhone
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iPad
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Android
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Chromebook
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Audio researchers and developers needing a solution for creating realistic speech and music continuations directly from raw audio
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Audience
Anyone in need of an AI-powered video localization solution
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
No information available.
Free Version
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Free Trial
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Reviews/
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Reviews/
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Training
Documentation
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Webinars
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Live Online
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In Person
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Training
Documentation
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Webinars
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Live Online
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In Person
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Company InformationGoogle
United States
research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/
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Company InformationPapercup
Founded: 2017
United Kingdom
www.papercup.com
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Integrations
Google Opal
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