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What is MAI-Transcribe-2-Streaming?

MAI-Transcribe-2-Streaming stands as an innovative solution in the realm of low-latency streaming transcription, specifically tailored for real-time voice applications and boasting the ability to generate transcripts in an impressive 60 languages, complete with automatic, ongoing language identification. Rather than requiring the entirety of speech to be finished, this model can produce initial partial transcripts in a mere 100 milliseconds after receiving audio input, allowing it to progressively refine and enhance these transcripts as more context is received, thus stabilizing the text rapidly. This capability empowers voice applications to begin analyzing data, employing tools, or displaying live transcripts even while the speaker continues to talk, significantly improving the overall user experience. Microsoft reports that this model has achieved the highest rankings for both final and partial transcript accuracy in Artificial Analysis assessments. To further elevate the user experience, MAI-Voice-2.1 introduces a multilingual text-to-speech feature that covers 23 languages and 26 locales, allowing a single voice to effortlessly switch between languages while maintaining the speaker's identity and adopting local accents. This advanced integration not only enhances the functionality of speech applications but also broadens their accessibility to a wider range of users, making it invaluable for diverse audiences. Furthermore, such advancements in technology pave the way for improved communication in multilingual environments, highlighting the importance of inclusivity in modern speech applications.

What is Beey?

Beey is an innovative application that swiftly transforms audio and video files into text with remarkable precision. This tool supports speech recognition in 20 diverse languages, making it accessible to a wide audience. Users can take advantage of a simple and intuitive editor, enabling them to further refine the transcribed text, export it in various formats, and even generate automatic translations or subtitles. The editing interface features a playback preview that aligns with the modified text, highlighted by a moving cursor for easy navigation. Users can control playback speed or position using the editor's controls, making it convenient to review content. Beey also includes a range of supplementary tools like Splitter, Voice, Link, and Stream. The Link feature allows users to transcribe audio and video from major platforms, including YouTube. Meanwhile, the Splitter tool efficiently handles lengthy recordings by segmenting them for easier editing. Additionally, Stream offers real-time transcription and captioning for live broadcasts, while the Voice function captures and transcribes spoken language on the fly, ensuring that users have versatile options for managing their audio and video content. With its array of features, Beey stands out as a comprehensive solution for anyone looking to convert and manipulate audio and video recordings.

Media

Media

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Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

€7.50 EUR per hour
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft AI

Date Founded

2024

Company Location

United States

Company Website

microsoft.ai/news/our-first-streaming-transcription-model/

Company Facts

Organization Name

NEWTON Technologies

Date Founded

2008

Company Location

Czech Republic

Company Website

www.beey.io

Categories and Features

AI Models

Not specified

Speech to Text

Not specified

Categories and Features

Podcast Transcription

Not specified

Speech to Text

Not specified

Transcription

Not specified

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