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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
Inworld Realtime STT is a streaming API for speech-to-text that captures more than just spoken words. This innovative tool merges low-latency speech recognition with voice profiling capabilities, allowing it to analyze emotions, vocal style, accent, age, and pitch from raw audio inputs, which enhances the responsiveness and expressiveness of downstream LLMs and TTS systems. Developers have the flexibility to stream audio in real time, transcribe entire files, or gather voice profile signals via a single, comprehensive API. The system features real-time bidirectional streaming over WebSocket, synchronous transcription for complete audio files, and offers voice profile signals for each streaming segment, all while supporting multiple providers through one model ID. Each audio segment provides a dynamic profile of the speaker, complete with confidence scores, equipping LLMs with structured context that indicates the emotional state of the user, such as whether they sound sad, frustrated, soft-spoken, high-pitched, or calm. This capability allows for a more nuanced interaction, enriching the user experience by adapting responses to the speaker’s emotional tone and vocal characteristics.
API Access
Has API
API Access
Has API
Integrations
OpenAI
OpenAI Whisper
gpt-realtime
Pricing Details
$0.017 per minute
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Inworld
Founded
2021
Country
United States
Website
inworld.ai/speech-to-text