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Description
Meta Muse is a personal AI agent built to help users complete everyday tasks rather than only answer questions in a chat interface. The service operates through a persistent secure virtual machine equipped with its own browser so it can navigate websites and carry out online workflows. Muse can help with activities such as scheduling appointments, completing forms, interacting with customer service, and making arrangements on the user’s behalf. Users can communicate with the agent through the Muse app or directly in WhatsApp using a conversational messaging interface. The agent can connect with services such as email, calendars, Instagram, and other frequently used applications to work across a broader set of personal tasks. Muse can turn goals into action plans, track progress, and proactively suggest additional steps based on what the user is trying to accomplish. For consequential actions such as sending emails or completing purchases, the system can request approval before proceeding and provides an audit trail of agent activity. Login credentials are stored in a secure credential system that the agent itself cannot read, while checkout workflows can use one-time card numbers so the user’s primary payment information is not exposed. Muse is designed for people who want an AI agent that can actively execute tasks, coordinate across apps, and continue working toward goals with user oversight.
Description
Muse Voice Transcribe represents Meta’s inaugural venture into real-time audio perception, providing instantaneous automatic speech recognition (ASR), speaker diarization, and endpointing capabilities. This autoregressive multimodal model, part of the Muse Spark series, analyzes audio segments of 80 milliseconds and makes real-time decisions on whether to keep listening or to convert the spoken words into text. The adaptive delay mechanism allows it to adjust the audio context utilized for each word according to the complexity of the speech, thus optimizing the balance between transcription precision and response time. With training encompassing over 70 languages, 25 of which were rigorously validated at the time of its release, the model also seamlessly accommodates arbitrary code-switching, allowing transitions within and across sentences. Furthermore, language, keyword, and contextual biasing features enhance the recognition capabilities for specific names, locations, contacts, or specialized terms. The streaming diarization functionality enables the model to recognize shifts in speakers and can differentiate between more than 20 individual voices. Additionally, the endpointing feature is adept at identifying the commencement of speech and knowing when a user has completed their statement, ensuring a fluid interaction experience. Overall, Muse Voice Transcribe stands out as a cutting-edge tool in the realm of speech recognition technology, merging advanced features with user-friendly application.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Facebook
Yes
Gmail
Yes
Google Calendar
Yes
Google Docs
Yes
Google Drive
Yes
Instagram
Yes
Muse Spark
Yes
OpenTable
Yes
Postedly
Yes
Shopify
Yes
Integrations
Facebook
No
Gmail
No
Google Calendar
No
Google Docs
No
Google Drive
No
Instagram
No
Muse Spark
No
OpenTable
No
Postedly
No
Shopify
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
Yes
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)
Yes
In Person
No
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
ai.meta.com/muse/
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
research.meta.ai/blog/introducing-muse-voice-transcribe
