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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.

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 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial No 
Free Version Yes 

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) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Inworld

Founded

2021

Country

United States

Website

inworld.ai/speech-to-text

Vendor Details

Company Name

Microsoft AI

Founded

2024

Country

United States

Website

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

Product Features

Product Features

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