Voice ProLinguaTec
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Related Products
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About
Muse Voice Transcribe is Meta’s first real-time audio perception model, delivering streaming automatic speech recognition (ASR), diarization, and endpointing in real time. An autoregressive multimodal model from the Muse Spark family, it processes audio in 80 ms chunks and decides dynamically whether to continue listening or emit text. Its adaptive delay changes the amount of audio context used for each word based on difficulty, balancing transcription accuracy with latency. The model is trained on more than 70 languages, with 25 extensively verified at launch, and natively supports arbitrary code-switching both within and between sentences. Language, keyword, and context biasing can further improve recognition accuracy for specific names, places, contacts, or terminology. Streaming diarization identifies speaker changes and distinguishes more than 20 speakers, while endpointing detects when speech begins and when a user finishes speaking.
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About
Voice Pro Enterprise has been developed especially for use in enterprises. The recognition is done on the company server and can be accessed from any device (PC, Mac, smartphone, tablet). This ensures that all in-house information remains within the company. No more time-consuming speaker training is necessary, thanks to the speaker-independent recognition technology: Just speak into your device and you will see the transcribed text immediately. Companies finally have a sophisticated and secure speech recognition solution at their disposal. Regardless of whether you need to create a document at your work station, write an email on the move or dictate a sales report on site: Voice Pro Enterprise saves time and helps to make employees more productive. Voice Pro Enterprise results in a noticeable increase in employee efficiency. With Voice Pro Enterprise you dictate on average three times faster than you type. The high recognition accuracy minimizes post-processing.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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Audience
Developers and AI researchers seeking to build real-time voice applications that transcribe multilingual speech, distinguish speakers, and detect conversational turns
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Audience
Enterprises that need a speech recognition solution
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
€149 one-time payment
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMeta
Founded: 2004
United States
research.meta.ai/blog/introducing-muse-voice-transcribe
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Company InformationLinguaTec
Founded: 1980
United States
www.linguatec.de/en/speech-recognition/
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Integrations
No info available.
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Integrations
No info available.
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