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Description
AudioLM is an innovative audio language model designed to create high-quality, coherent speech and piano music by solely learning from raw audio data, eliminating the need for text transcripts or symbolic forms. It organizes audio in a hierarchical manner through two distinct types of discrete tokens: semantic tokens, which are derived from a self-supervised model to capture both phonetic and melodic structures along with broader context, and acoustic tokens, which come from a neural codec to maintain speaker characteristics and intricate waveform details. This model employs a series of three Transformer stages, initiating with the prediction of semantic tokens to establish the overarching structure, followed by the generation of coarse tokens, and culminating in the production of fine acoustic tokens for detailed audio synthesis. Consequently, AudioLM can take just a few seconds of input audio to generate seamless continuations that effectively preserve voice identity and prosody in speech, as well as melody, harmony, and rhythm in music. Remarkably, evaluations by humans indicate that the synthetic continuations produced are almost indistinguishable from actual recordings, demonstrating the technology's impressive authenticity and reliability. This advancement in audio generation underscores the potential for future applications in entertainment and communication, where realistic sound reproduction is paramount.
Description
MMAudio is an innovative tool powered by artificial intelligence that seamlessly converts any MP4, AVI, or MOV file into high-quality audio with just one click and without any limitations on usage. By utilizing advanced video analysis alongside open-source AI models, it guarantees precise lip-sync alignment between audio and video, efficiently processing eight-second segments in less than two seconds. Users have the flexibility to extract audio from video files or convert text into audio, while also being able to apply both simple and complex sound effects, as well as adjust settings such as timeline-specific audio cues and sound transformations to align with their artistic intent. The platform allows for easy file uploads or URL submissions, offers browser-based previews of the produced audio, and features an extensive library of user scenarios that includes environmental sounds like ocean waves and wolf howls, along with mechanical sounds such as train movements and drum beats, highlighting its broad applicability. Moreover, regular updates enhance its synchronization technologies and broaden the range of supported formats, ensuring users can always access the latest improvements and capabilities. As a result, this tool serves not only as a practical resource for audio synthesis but also as a creative partner for those looking to elevate their multimedia projects.
API Access
Has API
API Access
Has API
Integrations
Google Opal
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Country
United States
Website
research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/
Vendor Details
Company Name
MMAudio
Country
United States
Website
mmaudio.pro/