AudioLMGoogle
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OmniHuman-2.0BytePlus
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Related Products
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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
OmniHuman 2.0 is an advanced AI-powered image-driven video avatar model that transforms a single image and an audio track into expressive, high-quality character animations. It generates realistic movements that align with speech rhythm, prosody, and semantic content, synchronizing lip movements, emotions, and gestures with audio. Optional text prompts provide precise control over character actions, object generation, camera movements, and scene interactions. Its cinematic emotional expression interprets audio context to produce natural gestures, authentic emotional shifts, and digital actors with a full dramatic range. The model supports rhythmic performances, creating digital singers with expressive motion, natural pauses, and adaptability across musical genres. Multi-person scene capabilities enable dynamic character interactions, while support for animals, cartoons, 3D styles, and non-humanoid subjects expands creative possibilities.
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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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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
Content creators, filmmakers, marketers, and developers seeking to transform images into realistic AI-generated videos with synchronized audio, character movements, and cinematic effects
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$0.07 per second
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationGoogle
United States
research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/
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Company InformationBytePlus
Founded: 2021
Singapore
www.byteplus.com/en/product/OmniHuman
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Categories |
Categories |
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Integrations
Google Opal
Not Supported
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