Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Transform spoken words into text swiftly and precisely, supporting over 170 languages and dialects. The Speaker Identification Feature enables the recognition of up to five distinct voices within the audio. With our advanced live transcription capability, users can transcribe audio in real-time using twelve different languages. Voicetapp boasts a user-friendly and pristine dashboard, ensuring a comfortable experience for all users. Utilizing cutting-edge deep learning technology backed by AI, we can assure accuracy rates that reach as high as 100%. Our state-of-the-art ASR engine, enhanced by its ability to detect and interpret speech, can effortlessly incorporate punctuation into the text. By leveraging our innovative speech-to-text solutions, we are revolutionizing the way businesses operate and communicate. This transformation not only improves efficiency but also enhances accessibility for diverse global audiences.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$9 per 60 minutes
Free Trial
Yes
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
Yes
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
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
research.meta.ai/blog/introducing-muse-voice-transcribe
Vendor Details
Company Name
Voicetapp
Country
United Kingdom
Website
voicetapp.com
Product Features
Product Features
Transcription
AI / Machine Learning
No
Annotations
No
Audio/Video File Upload
No
Automatic Transcription
No
Collaboration Tools
No
File Sharing
No
For Manual Transcription
No
Full Text Search
No
Multi-Language Support
No
Natural Language Processing (NLP)
No
Playback Controls
No
Speech Recognition
No
Subtitles
No
Text Editor
No
Timecoding
No