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features
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support

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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 

Screenshots View All

Screenshots View All

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

Product Features

Product Features

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Alternatives

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