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Average Ratings 0 Ratings
Description
Converse Smartly® is an advanced speech-to-text application that transforms spoken audio into written text. This software empowers both individuals and organizations to operate more efficiently, quickly, and precisely. It can be utilized for examining conversations or presentations in various settings such as team meetings, interviews, and conferences. Our goal is to deliver the leading online speech recognition solution by leveraging state-of-the-art technology to achieve the highest possible accuracy, while also integrating essential tools designed to enhance user productivity, efficiency, and overall experience. Utilizing sophisticated deep-learning neural network algorithms, the software ensures exceptional precision in speech recognition tasks. As users engage with Converse Smartly's system, its accuracy continues to improve over time, thanks to the ongoing machine learning processes that refine the internal speech recognition capabilities across a range of products. This continuous enhancement means that users can expect consistently better performance and reliability as they rely on the software for their transcription needs.
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
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Speech-to-Text
Yes
Google Cloud Text-to-Speech
Yes
IBM Watson
Yes
Microsoft Azure
Yes
Integrations
Amazon Web Services (AWS)
No
Google Cloud Speech-to-Text
No
Google Cloud Text-to-Speech
No
IBM Watson
No
Microsoft Azure
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
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
Yes
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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Folio3
Country
United States
Website
www.folio3.ai/converse-smartly-try-now/
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
research.meta.ai/blog/introducing-muse-voice-transcribe