Abstract: The present invention is an item location system which relies upon voice activation and responsiveness to identify location(s) of item(s) sought by a user. The system includes a continuous speech recognition digital signal processor, a programmable microprocessor interfaced therewith, voice input and user feedback mechanisms, including audio and/or video feedback. Preferred embodiments utilize audio feedback to the user. The system also includes sufficient software and equipment to create item-identification/corresponding location-identification data pairs by utilizing item identifying bar codes on the items and matching them to location identifying bar codes physically situated on the corresponding locations. The continuous speech recognition engine utilizes Hidden Markov Models to create real time continuous speech recognition and feedback.

Abstract: The present invention is an item location directory method and system which involves the use of item-identifying bar codes on the items to be included in the directory, and location-identifying bar codes physically applied to the corresponding locations. These are read in a preset manner with a bar code reader and inputted into a processor for creation of item/corresponding location data for the directories.

Abstract: The present invention is an item location system which relies upon voice activation and responsiveness to identify location(s) of item(s) sought by a user. The system includes a continuous speech recognition digital signal processor, a programmable microprocessor interfaced therewith, voice input and user feedback mechanisms, including audio and/or video feedback. Preferred embodiments utilize audio feedback to the user. The system also includes sufficient software and equipment to create item-identification/corresponding location-identification data pairs by utilizing item identifying bar codes on the items and cuopling them to location identifying bar codes physically situated on the items. The continuous speech recognition engine utilizes Hidden Markov Models to create real time continuous speech recognition and feedback.