Use our accurate and affordable Speech Engine to power your dynamic voice solutions.
Perform instant grammar testing and speech application tuning and testing in-house.
These on-demand, free training videos provide you with an arsenal of knowledge about speech recognition application development, and more.
Natural Language and Directed Dialogue
Designing a good speech application is often a balancing act between accuracy and
flexibility. Nowhere is this balancing act more evident than in the two general ways
of letting users respond to speech applications.
Speech Recognition for Call Centers
The most prevalent use of speech in a call center environment is the speech-enabled call
router or auto attendant. Not only can calls be answered by an intelligent and friendly
automated system, but your callers can quickly be routed to the right person to answer
their question.
What is Speech Recognition?
Speech recognition, often called automatic speech recognition, is the process by
which a computer recognizes what a person said. If you are familiar with speech
recognition, it ’s probably from applications based around the telephone.
Adding Foreign Words
Using phonetic rules within an SRGS grammar, developers can build limited functionality
for their speech recognition applications for words in languages not supported by the
Speech Engine.
DTMF to Speech White Paper
In this paper we will cover some techniques and tips you can follow to convert your
DTMF application to speech -- and delve into the reasons for taking the plunge in
the first place! With careful planning and a methodical approach, you can leverage
speech recognition technology to bring increased caller satisfaction and improved customer
service to your organization.
Distributed Architecture
Speech recognition applications in telephony environments not only require increased processor
load but are also mission critical and "down time" is not an option.
All About Grammars
At the heart of speech application development is the grammar, the list that defines
which words a speech application can recognize. Grammars will influence — and be
influenced by — many other facets of a speech application, including prompts,
menu choices, and the overall call flow of the application.
Leveraging Information to Increase Call Completion in Speech Recognition Application
The goal of a speech recognition Interactive Voice Response (IVR) system is to successfully
provide and/or capture automated data through to call completion.
April 2008, Handling High Volume Applications
We have taken steps to ensure that speech recognition can be easily added to high volume systems.
March 2008, Uninstalling LumenVox Licenses
Version 8.5 of the LumenVox License Server supports the ability to uninstall licenses, allowing users
to move a license file from one machine to another.
February 2008, LumenVox rated "Avaya Compliant"
LumenVox announced this week that our Speech Engine has been rated compliant by Avaya.
January 2008, How to Effectively Capture Digit Strings
One of the most common types of input to capture using speech recognition is a string of digits:
this can be a credit card number, a PIN, a Social Security number.
Asterisk Integration
FAQ's about the Asterisk integration can be found in this document.
Speech Engine Licensing
Learn all about the technical details of how we license the LumenVox software. It
includes information on installation and moving licenses.
Distributed Architecture
Though the LumenVox Speech Engine is
commonly run on a single machine, it can also be run in a distributed manner,
with multiple clients and servers working together.
Speech Tuner
The LumenVox Speech Tuner is a tool that allows
you to analyze speech applications by reviewing response files - data about calls and
interactions saved by a speech engine.
Asterisk PBX Users and Developers
Accelerate your knowledge of Asterisk and Speech Recognition - quickly! These instructions are
written for Asterisk 1.4.13 on a Linux machine using Fedora Core 6.
The LumenVox API on Linux
This page describes how to install our software on Linux and then how to build and run a simple
C++ application that uses our API.
Working with the LumenVox API
If you?re developing a custom application with the LumenVox Speech Engine or integrating it into
your telephony platform, you?ll want to take advantage of our published API.
Get Started on Windows MRCP
Setting up the LumenVox Speech Engine to work via MRCP is a simple matter of downloading and
installing the software and then connecting to our MRCP Server with an MRCP client.