Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
OpenAI’s GPT-Realtime-Whisper is an innovative streaming transcription model designed to deliver low-latency speech-to-text capabilities for live applications. This technology captures audio in real-time as individuals talk, enhancing voice-enabled applications by making them feel quicker, more engaging, and seamless, whether it’s by providing instant captions or generating meeting notes that align with ongoing discussions. By enabling the use of live speech in business processes, it allows teams to facilitate captions for various scenarios, including meetings, classrooms, broadcasts, and events, while also crafting notes and summaries during the dialogue. Moreover, it supports the development of voice agents that must continuously comprehend user input and expedites follow-up workflows for interactions that involve substantial spoken communication. As part of a cutting-edge suite of real-time voice models in the API, it not only transcribes but also reasons and translates as conversations take place, advancing the capabilities of real-time audio interactions beyond basic exchanges to sophisticated voice interfaces that can actively listen, interpret, transcribe, and respond dynamically as discussions progress. This evolution in technology promises to transform how we interact with voice-driven systems, making them more intuitive and effective in handling live communication.
Description
MAI-Transcribe-2-Streaming represents a cutting-edge solution in low-latency streaming transcription, specifically designed for real-time speech applications and capable of providing transcripts in 60 different languages with the added feature of automatic, continuous language detection. Instead of waiting for the completion of speech, this model generates initial partial transcripts in just over 100 milliseconds after audio input, allowing it to refine and enhance these transcripts as additional context becomes available, ultimately stabilizing the text quickly. This functionality enables voice applications to start analyzing information, utilizing tools, or showing live transcripts even while the speaker is still talking. According to Microsoft, this model has achieved the top ranking for both final and partial transcript accuracy on Artificial Analysis. To further enhance the user experience, MAI-Voice-2.1 offers a multilingual text-to-speech capability that spans 23 languages and 26 locales, enabling a single voice to seamlessly transition between languages while preserving the original speaker's identity and adopting local accents. This integration not only improves the usability of speech applications but also makes them more accessible to a diverse audience.
API Access
Has API
Yes
API Access
Has API
No
Integrations
OpenAI
No
OpenAI Whisper
No
gpt-realtime
No
Pricing Details
$0.017 per minute
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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)
No
In Person
No
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/index/advancing-voice-intelligence-with-new-models-in-the-api/
Vendor Details
Company Name
Microsoft AI
Founded
2024
Country
United States
Website
microsoft.ai/news/our-first-streaming-transcription-model/
Product Features
Product Features
Alternatives
Alternatives
No Alternatives