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What is VoxSigma?

The VoxSigma software suite is accessible as a web service via a REST API secured with HTTPS, enabling customers to consistently utilize our latest systems and promptly enjoy the benefits of continuous improvements alongside various features offered by the online platform. Our speech-to-text service operates year-round, equipped with failover servers and geographic redundancy to ensure reliability. The system also features automatic on-the-fly adaptation, which allows users to submit relevant texts corresponding to the audio being processed, effectively serving as a method for topic or domain adaptation. These additional texts significantly enhance the lexical coverage of the speech-to-text system and assist in customizing the language model to fit the specific context of the audio document, with the ultimate goal of increasing transcription accuracy. In addition, this adaptability not only enhances performance but also offers a more personalized user experience, allowing the service to better meet the unique needs of each client. Such advancements ensure a seamless integration of user requirements into our technology, fostering a more effective interaction between clients and the system.

What is Nova-3?

Deepgram's Nova-3 signifies a revolutionary step forward in speech-to-text technology, achieving new heights of accuracy and efficiency designed specifically for demanding, real-world scenarios. Its advanced ability for real-time multilingual transcription allows for seamless interactions that incorporate various languages, presenting a major advancement for industries such as global customer support and emergency services. Users benefit from the model's self-serve customization option, dubbed Keyterm Prompting, which enables them to swiftly adjust up to 100 key terms pertinent to their sector without needing to undergo extensive retraining of the entire model. This flexibility not only enhances the recognition of industry-specific language and terminology but also expands its usefulness across multiple sectors. Furthermore, Nova-3 exhibits impressive performance enhancements, featuring a 54.3% reduction in word error rate for streaming applications and a 47.4% decrease for batch processing when compared to rival models. Such remarkable progress establishes Nova-3 as an outstanding solution for organizations looking to improve their speech recognition capabilities across a diverse array of applications, helping them maintain a strong competitive edge in an ever-changing market. Consequently, businesses can look forward to heightened communication effectiveness and greater operational productivity, ultimately fostering growth and innovation.

Media

Media

Integrations Supported

Deepgram
SYSTRAN

Integrations Supported

Deepgram
SYSTRAN

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$4,000 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Vocapia

Company Location

France

Company Website

www.vocapia.com/speech-to-text-services.html

Company Facts

Organization Name

Deepgram

Date Founded

2015

Company Location

United States

Company Website

deepgram.com/learn/introducing-nova-3-speech-to-text-api

Categories and Features

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Categories and Features

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