Point-of-sale customer order system utilizing an unobtrusive transmitter/receiver and voice recognition software
First Claim
1. A method of using a speech recognition system for enabling a human server in entering restaurant food orders as a background task unobtrusive to a customer, comprising the steps of:
- providing at least one server with a non-obtrusive receiver-transmitter device which includes at least a microphone for communicating order information from the server and a speaker for receiving confirmation of the order information by the server;
providing an order processor having a speech recognition software module for receiving the order information communication from the microphone of the server by listening in real time during the server'"'"'s interaction with the customer and for processing the communication from the server according to a previous spoken word training operation to provide order information to the order processor; and
confirming the order information to the server from the order processor by providing an echo back message to the server;
wherein communicating the order information and confirming the order information occur non-obtrusively as background tasks to an order dialog between the at least one server and the customer.
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Accused Products
Abstract
A point-of-sale order system utilizes a relatively non-obtrusive transmitter-receiver device which includes a microphone for receiving order information and a speaker for receiving confirmation of the order information. The system utilizes voice recognition software in order to control processing and data flow during order taking operations, and to receive order information from the server in real time during interaction with the customer. A relatively limited database of recognizable words define computing commands and order information. An audible feedback is provided to the server which is relatively unobtrusive, and which provides the server with a positive indication that the order information has been fully and correctly received and processed.
54 Citations
16 Claims
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1. A method of using a speech recognition system for enabling a human server in entering restaurant food orders as a background task unobtrusive to a customer, comprising the steps of:
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providing at least one server with a non-obtrusive receiver-transmitter device which includes at least a microphone for communicating order information from the server and a speaker for receiving confirmation of the order information by the server; providing an order processor having a speech recognition software module for receiving the order information communication from the microphone of the server by listening in real time during the server'"'"'s interaction with the customer and for processing the communication from the server according to a previous spoken word training operation to provide order information to the order processor; and confirming the order information to the server from the order processor by providing an echo back message to the server; wherein communicating the order information and confirming the order information occur non-obtrusively as background tasks to an order dialog between the at least one server and the customer. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. Apparatus for entering restaurant food orders given to a human server as a background task unobtrusive to a customer, comprising:
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a point-of-sale (POS) system having a speech recognition software module coupled to an order processor; a wireless communication link, provided between the server and the order processor in the POS system, for providing order entry by listening in realtime during the server'"'"'s interaction with the customer and confirmation thereof in real time by providing an echo back message to the server unobtrusively as a background task to the dialog occurring between the server and the customer; and a database coupled to the speech recognition software module for storing a set of key words corresponding to menu items and computing commands spoken by the server, the key words stored in association with a server identification according to a previous spoken word training operation. - View Dependent Claims (12, 13, 14, 15, 16)
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Specification