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Custom Speech-Recognition Based Application Development

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Custom speech-recognition based application development

Sprex builds Speech Recognition Systems, featuring continuous (no pauses!), speaker independent (no training!) medium vocabulary recognition ( full coverage of natural responses in task-limited speech domains)!

Sprex provides custom development of speech recognition based computer applications or enhancements to computer applications. If you have a computer program which could be improved by providing a speech recognition based user interface, please contact us.


There are only a few sensible types of speech interfaces which work comfortably for users:
  • Learnable (if the grammar is tiny, users can memorize everything).
  • Visible (if the words you can say are visible on a computer screen, then users can read them out loud.)
  • Natural (you can say anything that makes sense to you).
A system of menus and popup sub-menus on a menu bar (i.e., a menu tree) is learnable and visible. Sprex can convert your menu tree to a continuous, speaker-independent speech interface.

You might want a set of highlighted words on a screen to be your visible active grammar. Sprex can provide a speech recognition module which, if you feed it a set of words or phrases, will make those available within the currently active grammar, feeding recognition results from that grammar back to your program.

Sprex can also develop a natural, task-dependent dialog system for you. Through an iterative custom engineering process, Sprex can develop a grammar covering the whole range of responses that people are likely to give in interacting with your application and mapping the output of the recognizer to the semantics of your application.

Sprex' recognizer has accuracy to burn, so that coverage of the whole range of responses for a natural speech grammar is attainable in application-restricted tasks.

Sprex can build a custom speech interface for your application, and provide the recognition system as a software module returning the output your system needs.

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Date: March 12, 2010