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Description
Dictation - Voice to Text is a versatile application that allows users to dictate, record, and translate text, eliminating the need for typing and creating a seamless dictation experience with one speaker at the microphone. It accommodates over 40 languages for both dictation and translation, enabling users to effortlessly switch between various language projects with just a click. The application boasts AI-driven transcription features, empowering users to transcribe audio recordings, videos, voice memos, URLs, and even YouTube content utilizing advanced speech recognition technology. Additionally, audio recordings and text files can be conveniently accessed through the Apple 'Files' app, making sharing easy. With iCloud synchronization activated, any text generated is automatically updated across all devices using Dictation, such as iPhones, iPads, macOS computers, and Apple Watches. Furthermore, the app respects system font size preferences and allows for adjustable button sizes to enhance accessibility for visually impaired users, ensuring a user-friendly experience for all. This level of customization and integration makes Dictation an essential tool for anyone looking to streamline their writing process.
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
API Access
Has API
Integrations
Apple Files
Facebook
OpenAI
WhatsApp
YouTube
iCloud
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Christian Neubauer
Country
Germany
Website
ibn-software.com/apps/dictate
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
research.meta.ai/blog/introducing-muse-voice-transcribe
