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
eMite is the operational intelligence platform that combines advanced analytics, data correlation, KPI management and threshold alerting into a single, out-of-the-box browser-based solution that provides actionable insights from both real-time and historical data. eMite provides a very flexible and powerful data onboarding ETL (extract, transform, load) framework using several technologies to extract data, including APIs, XML, JSON, SQL, and others. eMite has developed over 80 pre-built adaptors to automatically ingest data from common third-party solutions from vendors like Salesforce, Microsoft, Oracle, Atlassian, Snare, and Genesys. eMite also provides adaptors to onboard data from more generic data sources like a database or an Excel file. eMite includes a KPI (Key Performance Indicator) management system, allowing users to build custom KPIs that are relevant to their operations.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
Companies seeking a tool to onboard data from many processes and visualize it in an easily configurable interface
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMeta
Founded: 2004
United States
research.meta.ai/blog/introducing-muse-voice-transcribe
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Company InformationeMite
Australia
www.emite.com/solutions/
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Integrations
Amazon Web Services (AWS)
Avaya Aura
Genesys Cloud CX
Jira
Microsoft 365
Microsoft Excel
Oracle Berkeley DB
SQL Server
Salesforce
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Integrations
Amazon Web Services (AWS)
Avaya Aura
Genesys Cloud CX
Jira
Microsoft 365
Microsoft Excel
Oracle Berkeley DB
SQL Server
Salesforce
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