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What is SAM Audio?

SAM Audio signifies a remarkable leap forward in AI technology, specifically designed for accurate audio segmentation and editing. This groundbreaking tool allows users to isolate individual sounds from complex audio mixes by employing user-friendly prompts that mimic natural thought processes related to sound. With ease, users can enter phrases like “remove dog barking” or “keep just the vocals,” interact with elements in a video to extract corresponding audio, or pinpoint specific time segments where the desired sounds occur, all within a unified platform. Available through Meta’s Segment Anything Playground, SAM Audio enables users to upload their audio or video files and immediately delve into its capabilities. Furthermore, it can be downloaded for use in custom audio projects and research activities. In contrast to traditional audio editing tools that focus on limited functionalities, SAM Audio stands out by accommodating a broad range of prompts and effectively managing various real-world sound environments, making it an adaptable option for audio manipulation. This exceptional flexibility and user-centric design truly distinguish it from conventional solutions in the market, ensuring it meets the diverse needs of its users. Overall, SAM Audio represents not just a tool, but a transformative experience in audio editing and manipulation.

What is Marengo?

Marengo is a cutting-edge multimodal model specifically engineered to transform various forms of media—such as video, audio, images, and text—into unified embeddings, thereby enabling flexible "any-to-any" functionalities for searching, retrieving, classifying, and analyzing vast collections of video and multimedia content. By integrating visual frames that encompass both spatial and temporal dimensions with audio elements like speech, background noise, and music, as well as textual components including subtitles and metadata, Marengo develops an all-encompassing, multidimensional representation of each media piece. Its advanced embedding architecture empowers Marengo to tackle a wide array of complex tasks, including different types of searches (like text-to-video and video-to-audio), semantic content exploration, anomaly detection, hybrid searching, clustering, and similarity-based recommendations. Recent updates have further refined the model by introducing multi-vector embeddings that effectively separate appearance, motion, and audio/text features, resulting in significant advancements in accuracy and contextual comprehension, especially for complex or prolonged content. This ongoing development not only enhances the overall user experience but also expands the model’s applicability across various multimedia sectors, paving the way for more innovative uses in the future. As a result, the versatility and effectiveness of Marengo position it as a valuable asset in the rapidly evolving landscape of multimedia technology.

Media

Media

Integrations Supported

Llama
TwelveLabs

Integrations Supported

Llama
TwelveLabs

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$0.042 per minute
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com/samaudio/

Company Facts

Organization Name

TwelveLabs

Date Founded

2021

Company Location

United States

Company Website

www.twelvelabs.io/product/models-overview#marengo

Categories and Features

Categories and Features

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