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What is Fusion Speech?

The evolution of back-end speech recognition technology is a pivotal advancement in dictation and transcription sectors. Featuring Fusion Speech®, which is driven by Nuance’s SpeechMagic™, this cutting-edge system can seamlessly adapt to various medical fields without necessitating additional training for physicians or changes to their established workflows. By leveraging Fusion Voice® for capturing dictation and processing it with Fusion Speech, healthcare professionals can markedly boost productivity in transcription through Fusion Text®. The amalgamation of these Fusion components not only optimizes operational processes but also results in substantial savings on ongoing labor and outsourcing costs. This groundbreaking speech recognition solution stands apart from others that have typically offered only superficial functionalities, failing to establish a viable business model. With Fusion Speech, you are equipped with vital resources to implement a speech recognition system that delivers tangible and measurable returns on investment, ensuring the success of your practice in an increasingly digital era. As you embrace this innovative solution, you will begin to see a marked improvement in your operational efficiency, fostering an environment of growth and advancement. The future of your practice is brighter with this transformative technology at your disposal.

What is CATalyst Check It?

Check It serves as a highly beneficial feature for Stenograph's CATalyst software, designed to enhance the editing workflow for both court reporters and scopists alike. By leveraging Phoenix, Stenograph's exclusive Automatic Speech Recognition (ASR) engine tailored for the legal field, Check It thoroughly examines the audio from court sessions in tandem with the related transcript, identifying discrepancies and providing recommendations for corrections. This innovative tool greatly boosts editing productivity by reducing the number of keystrokes required and simplifying text adjustments, enabling users to potentially recover up to 3.75 hours of editing time weekly. The time reclaimed allows reporters the opportunity to accept up to two additional assignments, which could lead to a significant increase in earnings of at least $1000 per month, while scopists might enjoy an extra $800 in their monthly income. By fusing the advanced capabilities of Phoenix with the skills of reporters, Check It becomes an essential resource for enhancing transcripts, thus facilitating an efficient editing process and optimizing overall productivity. Additionally, the collaboration between advanced technology and professional expertise not only elevates the quality of individual work but also enhances the precision and reliability of legal documents across the board.

Media

Media

Integrations Supported

Stenograph Phoenix

Integrations Supported

Stenograph Phoenix

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$49 per month
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

Dolbey

Date Founded

1994

Company Location

United States

Company Website

www.dolbey.com/solutions/speech-recognition/fusion-speech/

Company Facts

Organization Name

Stenograph

Date Founded

1938

Company Location

United States

Company Website

www.stenograph.com/checkit

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

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