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Average Ratings 0 Ratings
Description
Marengo is an advanced multimodal model designed to convert video, audio, images, and text into cohesive embeddings, facilitating versatile “any-to-any” capabilities for searching, retrieving, classifying, and analyzing extensive video and multimedia collections. By harmonizing visual frames that capture both spatial and temporal elements with audio components—such as speech, background sounds, and music—and incorporating textual elements like subtitles and metadata, Marengo crafts a comprehensive, multidimensional depiction of each media asset. With its sophisticated embedding framework, Marengo is equipped to handle a variety of demanding tasks, including diverse types of searches (such as text-to-video and video-to-audio), semantic content exploration, anomaly detection, hybrid searching, clustering, and recommendations based on similarity. Recent iterations have enhanced the model with multi-vector embeddings that distinguish between appearance, motion, and audio/text characteristics, leading to marked improvements in both accuracy and contextual understanding, particularly for intricate or lengthy content. This evolution not only enriches the user experience but also broadens the potential applications of the model in various multimedia industries.
Description
Seed-Music is an integrated framework that enables the generation and editing of high-quality music, allowing for the creation of both vocal and instrumental pieces from various multimodal inputs such as lyrics, style descriptions, sheet music, audio references, or vocal prompts. This innovative system also facilitates the post-production editing of existing tracks, permitting direct alterations to melodies, timbres, lyrics, or instruments. It employs a combination of autoregressive language modeling and diffusion techniques, organized into a three-stage pipeline: representation learning, which encodes raw audio into intermediate forms like audio tokens and symbolic music tokens; generation, which translates these diverse inputs into music representations; and rendering, which transforms these representations into high-fidelity audio outputs. Furthermore, Seed-Music's capabilities extend to lead-sheet to song conversion, singing synthesis, voice conversion, audio continuation, and style transfer, providing users with fine-grained control over musical structure and composition. This versatility makes it an invaluable tool for musicians and producers looking to explore new creative avenues.
API Access
Has API
Yes
API Access
Has API
No
Integrations
TwelveLabs
No
Pricing Details
$0.042 per minute
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
TwelveLabs
Founded
2021
Country
United States
Website
www.twelvelabs.io/product/models-overview#marengo
Vendor Details
Company Name
ByteDance
Founded
2012
Country
China
Website
seed.bytedance.com/en/seed-music