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What is MAI-Transcribe-2?

MAI-Transcribe-2 stands as the apex of Microsoft AI's transcription technology, meticulously designed to deliver swift and accurate speech recognition in a variety of real-world audio settings. The model boasts functionalities such as speaker diarization, which allows it to distinguish among speakers and attribute dialogue accurately, along with providing word-level timestamps that enhance alignment, searching, navigation, and editing capabilities. It also incorporates keyword biasing to boost the recognition accuracy of specialized terminology, abbreviations, and names that might otherwise be difficult to discern in context. Developers can choose from various transcription styles, including a verbatim option that captures filler words and false starts for comprehensive analysis and compliance, or a clean option that omits these elements for clearer captions and more polished published transcripts. Moreover, the model is skilled at managing code-switching, effortlessly shifting between languages in conversations, and it can even handle mixed language combinations like Hinglish and Spanglish, all while automatically detecting the spoken language. This adaptability not only enhances usability but also positions MAI-Transcribe-2 as an indispensable asset in multilingual environments and diverse applications. Consequently, its innovative features cater to the evolving demands of transcription across industries.

What is MAI-Transcribe-1?

MAI-Transcribe-1 is a cutting-edge speech-to-text technology developed by Microsoft, available through Azure AI Foundry, designed to deliver accurate transcriptions from a range of audio inputs for both enterprise and developer use cases. It supports 25 widely spoken languages and effectively handles various accents, dialects, and speech patterns, ensuring dependable performance even in challenging conditions such as background noise, low audio quality, or overlapping speech. Created by the AI Superintelligence team at Microsoft, this solution prioritizes both precision and speed, enabling quick batch processing and straightforward scalability for production environments. This robust tool is vital for a multitude of applications, including meeting transcriptions, live caption generation, accessibility improvements, call center analytics, and the functioning of voice-activated systems, establishing itself as a key component in voice-driven innovations. Furthermore, its adaptability makes it an indispensable asset for enhancing communication and improving accessibility across a wide range of platforms, thus promoting inclusivity and efficiency in various sectors.

Media

Media

Integrations Supported

Microsoft Foundry
JSON
Microsoft Azure

Integrations Supported

Microsoft Foundry
JSON
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

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

Microsoft AI

Date Founded

2024

Company Location

United States

Company Website

microsoft.ai/news/mai-transcribe-2-is-the-fastest-most-accurate-and-cheapest-speech-recognition-model-in-the-world/

Company Facts

Organization Name

Microsoft AI

Date Founded

1975

Company Location

United States

Company Website

ai.azure.com/catalog/models/MAI-Transcribe-1

Categories and Features

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

Categories and Features

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

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