DOWNLOADABLE COMPUTER VOICE RECOGNITION SOFTWARE

Brand Owner (click to sort) Address Description
OTTO DISH WIRELESS 9601 S. MERIDIAN BLVD. ENGLEWOOD CO 80112 Downloadable computer voice recognition software for providing consumer resources for searching, locating, rating, evaluating and providing directions for the purchase, consumption and use of services and information over a global communications network and using any connected access mode in any format, namely, mobile communications devices, email, voice or social media channels;
OTTO DISH WIRELESS 9601 S. MERIDIAN BLVD. ENGLEWOOD CO 80112 Downloadable computer voice recognition software for providing consumer resources for searching, locating, rating, evaluating and providing directions for the purchase, consumption and use of a wide range of consumer products, services and information over a global communications network and using any connected access mode in any format, namely, mobile communications devices, email, voice or social media channels; downloadable computer voice recognition software for browsing the Internet;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A user system incorporating a voice instruction recognition processing portion and a transmission control portion is connected through a communication line to a center system incorporating a reception control portion, a voice instruction recognition processing portion and an output control portion. Processing for obtaining a voice instruction content based on a waveform analysis result of the voice instruction is shared by voice instruction recognition processing portions. This share prevents decrease of a recognition rate occurred in the case of disposing a voice analysis recognition processing function only on the center system. The share also eliminates waiting time for transfer of lexical grammar data generated in the case of disposing the voice analysis recognition processing function only on the user system. Further, a processing load of the user system is decreased. Thus, high recognition capability is obtained even with voice input from a user terminal low in power consumption.