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Requirements

  • Microsoft® Windows® 7 SP1 or higher Windows OS (7, 8, 8.1 and 10) Processor: Intel Core 2 CPU, 2.0 GHz, 2GB recommended for Local Recognition

  • Processor: Intel Core 2 CPU, 2.0 GHz, 1GB recommended for Remote Recognition Disk Space: 4 GB for local Recognition, 1 GB for Remote Recognition

  • Microsoft® Internet Explorer Version 8 or higher

  • .Net Framework 4.6.1

  • US: Access to fluencydirect.mmodal.com:443, fd-atl.mmodal.com:443, audiorelayserver.mmodal.com:8077. fluencyupdate.mmodal.com:443 and catalyst-apps.mmodal.com:443

  • UK non-N3 customers: Access to *.mmodal.co.uk:443, audiorelayserver.mmodal.co.uk:8077, *.mmodal.com:443

  • UK N3 customers: Access to *.mmodal.thirdparty.nhs.uk:443, audiorelayserver.mmodal.thirdparty.nhs.uk:8077, *.mmodal.com:443

  • For dictation support into Java based applications JRE 1.7 u6 (32 bit) or higher needs to be installed on the computer before Fluency Direct is installed. For Citrix XenApp support with the Fluency Connector, you must have already installed the Citrix Client 10, 11, 12 or the Citrix Receiver in advance of installing Fluency Direct as well as have the Connector configured on the Citrix Server.

  • Must provide Open Port 443 for HTTPS/SSL traffc to allow fluencydirect.mmodal.com through customer firewall, as well as amazonaws.com (for the vpa server). Will also need to accommodate the TTS server we provide.

  • 100 Kbits/sec of bandwidth is required for each concurrent/active user. Therefore, a 1 MBits/sec connection can support 8 – 12 concurrent users. Please keep in mind that users are not dictating non-step, so the number of concurrent users is typically 50 % or less of the total number of users at any given time. Most of the bandwidth its consumed by data upload at the time audio is being streamed to the data center for training purposes. Significantly less data is passed between the client software and the remote Citrix session or Remote Recognition servers. Download traffic from the data center is minimal compared to the upload.

CPU Benchmarks

While the above CPU guidelines serve as a good general rule for system requirements. It is often helpful to assess particular computers in your organization against an ideal CPU speed. Websites like www.cpubenchmark.net offer objective scores to individual processors. By going to a site such as www.cpubenchmark.net you can get a benchmark score for your processor(s) and compare it to the minimum value of 3000. Any computer with a benchmark score lower than 3000 should consider a remote recognition configuration to assure maximum and consistent performance during speech recognition. If using a PACS or other resource intensive systems will also be in use, we suggest a minimum of 5000 and recommended of benchmark of 8000 or higher.

Browser Extensions

The browser extension is a plug-in that extends the functionality of a web browser. The following extensions have been developed for Fluency Direct to ensure the best dictation experience possible when using web based applications.

NOTE: Available only for Versions 10.0.400 and above.

Chrome

Click here for the Chrome Fluency direct Web Extension. Once the page opens, click the Install button and follow the prompts.

Note

Chrome is the only currently supported browser for Fluency Direct for macOS.

Firefox

Click here for the FireFox Fluency direct Web Extension. Once the page opens, click the blue Install Extension button and follow the prompts.

Open Source Attribution

This document contains a list of open source components used by Fluency Direct including their license types, their license types and URLs referencing the original source code projects.

Log4net 

Apache v2.0.12

https://www.apache.org/

Boost 

Boost Software License v1.67.0

https://www.boost.org/

HID_Library

MIT 3.2.46.0

https://github.com/mikeobrien/HidLibrary

NSS

Mozilla Public License 3.33

https://developer.mozilla.org/en-US/docs/Mozilla/Projects/NSS

Naudio 

Microsoft 1.8.4.0

https://github.com/naudio/NAudio

Newtonsoft_Json

MIT 13.0.1

https://www.newtonsoft.com/json

NotifyIcon_WPF 

Code Project Open License (CPOL) 1.0.8

https://github.com/hardcodet/wpf-notifyicon

Socket_IO_DOT_NET

MIT 1.0.6

https://github.com/Quobject/SocketIoClientDotNet

UIA_Com_Wrapper 

Microsoft 1.0.0.0

https://www.nuget.org/packages/UIAComWrapper/

DotNetZip

Microsoft 1.9.1.8

https://archive.codeplex.com/?p=dotnetzip

WPFToolkit

Microsoft 3.5.5-211.1

https://archive.codeplex.com/?p=wpf

Tamir.SharpSSH

BSD-3  1.1.1.13

https://www.nuget.org/packages/Tamir.SharpSSH/

Fleck

MIT 1.1.0

https://github.com/statianzo/Fleck