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Description

The automatic speech recognition (ASR) system developed by GoVivace accommodates a variety of English accents and is adaptable to numerous languages, making it versatile for global use. Additionally, this ASR technology is compatible with standard telephony, as well as web and mobile platforms. It efficiently executes voice commands issued to devices such as computers, tablets, smartphones, and telephones, utilizing a microphone for input, which allows for a wide range of applications. The GoVivace ASR engine works by comparing spoken input to an array of predetermined options, converting the verbal communication into text. This array of predetermined options forms the grammar for the application, serving as the critical link between the speaker and the underlying processing system. Remarkably, GoVivace's innovative speech recognition solution operates effectively with minimal grammar requirements, yet it is robust enough to handle extensive grammars for more intricate tasks, showcasing its flexibility and efficiency. Such adaptability makes it suitable for various industries and user needs, further broadening its market appeal.

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 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
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 Yes 
Live Rep (24/7) No 
Online Support No 

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

GoVivace

Founded

2009

Country

United States

Website

www.govivace.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

research.meta.ai/blog/introducing-muse-voice-transcribe

Product Features

Speech Recognition

Audio Capture Yes 
Automatic Form Fill No 
Automatic Transcription Yes 
Call Analysis No 
Concatenated Speech No 
Continuous Speech No 
Customizable Macros Yes 
Multi-Languages Yes 
Specialty Vocabularies No 
Speech-to-Text Analysis Yes 
Variable Frequency No 
Voice Recognition Yes 

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 

Product Features

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