Vocollect, Inc.

Intelligrated Headquarters, LLC

Honeywell International Inc.

Vococollect, Inc.

Lori Pike

Jeffrey Pike

Keith Braho

Amro El-Jaroudi

Justin Volz

Michael Laughery

Jason A Johnson

James Hendrickson

Jason-David Nitzberg

Timothy R Williams

Vanessa Cassandra Sanchez

Sang Pheng

Zachary Reott

Jeffrey P Pike

Mark Mellott

Brian Bender

Reza Katebi

George Joshue Karabin

Mohammad Lotfollahi Sohi

Kevin Hellman

Francisco Tejada, Jr

Allan Strane

Zachary Nicholas Antosko

Timothy Reed

Brian Quinn

Stefan Wert

Joshua Zito

Paul E Crimm

Karel Chaloupka

Muhammad Samer Abbas

Heather Potts

Gunjan Goswami

Jeffrey Piki

A voice control interactive system and method to provide a hands-free operation for the operator to monitor and control multiple conveyors in a warehouse. The system comprises a first computing device and a second computing device. The first computing device is configured to receive a transmission from the second computing device, the transmission including information relating to a verbal command spoken by an operator associated with the second computing device. The first computing device is configured to generate a response signal in response to the transmission. The response signal includes information relating to a response for the verbal command. The information is generated based on a location of the second computing device. Generating the response signal includes identifying an optimal route information for the second computing device to reach a location of the first computing device.

Interactive voice system for conveyor control

Methods, apparatuses and computer program products for movement of rectangular prisms in a multi-dimensional space are provided.

Methods, apparatuses and computer program products for movement of rectangular prisms through a multi-dimensional space

A voice control interactive system and method to provide a hands-free operation for the operator to monitor and control multiple conveyors in a warehouse. The system comprises a first computing device and a second computing device. The first computing device receives an audio signal generated by a second computing device and generates a control signal and a response signal in response to the audio signal. The audio signal comprises information relating to a verbal command spoken by an operator associated with the second computing device. The response signal comprises information relating to a response for the verbal command, wherein the information is generated based on a location of the second computing device. The control signal comprises information to control a conveyor.

A method to provide an order for a user to select goods includes automatically prompting a user via a voice command to collect an item from an order placed by a customer, and in response to receiving the input from an electronic device indicating that the item is unavailable, automatically prompting the user via a voice command to collect a substitute item designated, receiving an input indicating that the substitute item has been collected, followed by electronically notifying the customer that the substitute item has been collected instead of the original item. In another aspect, a voice-enabled click and collect system includes a remote server in communication with a mobile device, configured to prompt a user to collect an item, communicate the item unavailability to the remote server, receive instructions from the remote server, prompt the user to collect the substitute item, and notify the customer.

Voice-enabled substitutions with customer notification

A method of characterizing inventory items to a planogram includes receiving images of view of a scene with inventory items and corresponding indicia using an imaging device; receiving utterances (such as spoken description of inventory items) from a user using a voice recognition system; identifying inventory items in the scene and a corresponding identification code based at least in part on the images and at least in part on the utterances; identifying a plurality of attributes corresponding to the inventory items; and characterizing the inventory items to a planogram based on the respective identification code and plurality of attributes.

Method and system for inputting products into an inventory system

A method for text-to-speech (TTS) pronunciation correction includes initiating a correction of a pronunciation error produced by a TTS system; receiving an input from a user for the correction of the pronunciation error; and updating the pronunciation based on the input provided by the user. The user input can include providing one or more voice recording entries, a manual entry from a keyboard, and/or choosing an entry from a predetermined list of phonetic strings. The method can also include pronouncing the corrected pronunciation entry back to the user. The user input can be further used for correction of similar syllables, words, and/or phrases.

Automated TTS self correction system

Methods are disclosed for identifying possible errors made by a speech recognition system without using a transcript of words input to the system. A method for model adaptation for a speech recognition system includes determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The method may further include adjusting an adaptation, of the model for the word or various models for the various words, based on the error rate. Apparatus are disclosed for identifying possible errors made by a speech recognition system without using a transcript of words input to the system. An apparatus for model adaptation for a speech recognition system includes a processor adapted to estimate an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The apparatus may further include a controller adapted to adjust an adaptation of the model for the word or various models for the various words, based on the error rate.

Methods and systems for identifying errors in a speech recognition system

A method for model adaptation for a speech recognition system includes determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The method may further include adjusting an adaptation, of the model for the word or various models for the various words, based on the error rate. Apparatus are disclosed for identifying possible errors made by a speech recognition system without using a transcript of words input to the system. An apparatus for model adaptation for a speech recognition system includes a processor adapted to estimate an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The apparatus may further include a controller adapted to adjust an adaptation of the model for the word or various models for the various words, based on the error rate.

Methods and systems for adapting a model for a speech recognition system

A method for assessing a performance of a speech recognition system may include determining a grade, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words, wherein the grade indicates a level of the performance of the system and the grade is based on a recognition rate and at least one recognition factor. An apparatus for assessing a performance of a speech recognition system may include a processor that determines a grade, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words, wherein the grade indicates a level of the performance of the system and wherein the grade is based on a recognition rate and at least one recognition factor.

Methods and systems for assessing and improving the performance of a speech recognition system

Method and apparatus for determining a corrective action for a speech recognition system based on the performance of the system

Possible errors made by a speech recognition system may be identified without using a transcript of words input to the system. A method for model adaptation for a speech recognition system includes determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The method may further include adjusting an adaptation, of the model for the word or various models for the various words, based on the error rate. An apparatus identifies possible errors made by a speech recognition system without using a transcript of words input to the system. An apparatus for model adaptation for a speech recognition system includes a processor adapted to estimate an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The apparatus may further include a controller adapted to adjust an adaptation of the model for the word or various models for the various words, based on the error rate.

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Murrysville, PA, United States of America

Lori Pike