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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.

What is Converse Smartly?

Converse Smartly® is a cutting-edge application that converts spoken language into written text seamlessly. This innovative software aids both individuals and businesses in enhancing their operational efficiency, speed, and accuracy. It is particularly useful for analyzing dialogues or speeches in diverse environments, including team gatherings, interviews, and conferences. Our mission is to provide a top-tier online speech recognition solution by utilizing advanced technology that maximizes accuracy while incorporating vital tools aimed at boosting user productivity and overall experience. By employing sophisticated deep-learning neural networks, the application guarantees outstanding precision in recognizing speech effectively. As users interact with Converse Smartly, its accuracy is constantly refined, thanks to perpetual machine learning improvements that enhance the underlying speech recognition features across various applications. This ongoing development ensures users can anticipate steadily improving performance and reliability, making the software an indispensable asset for all their transcription requirements. Ultimately, Converse Smartly stands out in the market by committing to adapt and evolve, reflecting the changing needs of its users.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Deepgram
Google Cloud Speech-to-Text
Google Cloud Text-to-Speech
IBM Watson
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Deepgram
Google Cloud Speech-to-Text
Google Cloud Text-to-Speech
IBM Watson
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

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

Pricing Information

Pricing not provided.
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

Deepgram

Date Founded

2015

Company Location

United States

Company Website

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

Company Facts

Organization Name

Folio3

Company Location

United States

Company Website

www.folio3.ai/converse-smartly-try-now/

Categories and Features

Categories and Features

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