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
MMAudio is an AI‑powered video‑to‑audio synthesis tool that transforms any MP4, AVI, or MOV file into high‑quality, natural‑sounding audio with a single click and no usage limits. Leveraging smart video analysis and open source AI models, it ensures perfect lip‑sync‑grade alignment between sound and picture, processing eight‑second clips in under two seconds. Users can choose between video‑to‑audio extraction and text‑to‑audio conversion, apply simple or complex sound effects, and fine‑tune parameters, such as timeline‑based audio cues and sound transformations, to match their creative vision. It supports direct file uploads or URL inputs, provides browser‑based previews of generated audio, and offers a growing library of user cases, from environmental sounds like seashores and wolf howls to mechanical noises like train movements and drum hits, to showcase its versatility. Continuous updates optimize its synchronization algorithms and expand format compatibility.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
Video creators, podcasters and researchers requiring a solution to extract or generate professional‑grade audio from video and text
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
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 InformationMMAudio
United States
mmaudio.pro/
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Categories |
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Integrations
Google Opal
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