Dynamically assigning wake words

Patent metadata

Field	Value
Publication number	US-2021287670-A1
Application number	US-202016817445-A
Country	US
Kind code	A1
Filing date	Mar 12, 2020
Priority date	Mar 12, 2020
Publication date	Sep 16, 2021
Grant date	—

Abstract

A method and apparatus for determining a unique wake word for devices within an incident. One system includes an electronic computing device comprising a transceiver and an electronic processor communicatively coupled to the transceiver. The electronic processor is configured to receive a notification indicative of an occurrence of an incident and one or more communication devices present at the incident, determine contextual information associated with the incident and the one or more communication devices, and identify one or more wake words based on the contextual information. The electronic processor is further configured to determine a phonetic distance for each pair of wake words included in the one or more wake words, and select a unique wake word from the one or more wake words for each communication device of the one or more communication devices based on the determined phonetic distance.

First claim

We claim:

1 . An electronic computing device comprising:
a transceiver; and an electronic processor communicatively coupled to the transceiver and configured to:
receive a notification indicative of an occurrence of an incident and one or more communication devices present at the incident;
determine contextual information associated with the incident and the one or more communication devices;
identify one or more wake words based on the contextual information;
determine a phonetic distance for each wake word included in the one or more wake words; and
select a unique wake word from the one or more wake words for each communication device of the one or more communication devices based on the determined phonetic distance.

2 . The electronic computing device of claim 1 , wherein the contextual information includes a communication device historical preference.

3 . The electronic computing device of claim 2 , wherein the electronic processor is further configured to:
receive a request for a second unique wake word; and store the request with the communication device historical preference.

4 . The electronic computing device of claim 1 , wherein the contextual information includes at least one selected from a group consisting of a desired number of wake words, a communication device user role type, an incident background noise, an incident type, a communication device user history, a weather condition, and a vernacular based on the incident type.

5 . The electronic computing device of claim 1 , wherein the contextual information further includes a predetermined list of wake words associated with a communication device of the one or more communication devices.

6 . The electronic computing device of claim 1 , wherein the electronic processor is further configured to:
assign a priority value to each wake word included in the one or more wake words based on a historical data associated with the one or more wake words; and select a unique wake word from the one or more wake words for each communication device of the one or more communication devices based on the priority value.

7 . The electronic computing device of claim 1 , wherein identifying one or more wake words based on the contextual information further includes identifying one or more wake words based on the set of words in use at the incident and the role type of each of the communication devices.

8 . The electronic computing device of claim 1 , wherein the electronic processor is further configured to:
provide, with an output device of each of the one or more communication devices, the unique wake word.

9 . The electronic computing device of claim 1 , wherein the electronic processor is further configured to:
provide, with an output device of each of the one or more communication devices, an option indicating a request for a new wake word; receive the request for a new wake word from at least one communication device; select a second unique wake word for at least one communication device based on the request and the determined phonetic distance; and provide, with an output device of the at least one communication device, the second unique wake word.

10 . The electronic computing device of claim 1 , wherein determining contextual information associated with the incident and the one or more communication devices further comprises calculating an ambient interference based at least on one selected from a group consisting of a historical incident ambient noise, a detected ambient noise, and a current weather condition.

11 . A method of determining a wake word, the method comprising:
receiving, with an electronic processor, a notification indicative of an occurrence of an incident and one or more communication devices present at the incident; determining, with the electronic processor, contextual information associated with the incident and the one or more communication devices; identifying, with the electronic processor, one or more wake words based on the contextual information; determining, with the electronic processor, a phonetic distance for each pair of wake words included in the one or more wake words; and selecting a unique wake word from the one or more wake words for each communication device of the one or more communication devices based on the determined phonetic distance.

12 . The method of claim 11 , wherein the contextual information includes a communication device historical preference.

13 . The method of claim 12 , further comprising:
receiving, with the electronic processor, a request for a second unique wake word; and storing, with the electronic processor, the request for the communication device historical preference.

14 . The method of claim 11 , wherein the contextual information includes at least one selected from the group consisting of a desired number of wake words, a communication device user role type, an incident background noise, an incident type, a communication device user history, a weather condition, and a vernacular based on the incident type.

15 . The method of claim 11 , wherein the contextual information further includes a predetermined list of wake words associated with a communication device of the one or more communication devices.

16 . The method of claim 11 , further comprising:
assigning a priority value to each wake word included in the one or more wake words based on a historical data associated with the one or more wake words; and selecting a unique wake word from the one or more wake words for each communication device of the one or more communication devices based on the priority value.

17 . The method of claim 11 , wherein identifying one or more wake words based on the contextual information further includes identifying one or more wake words based on the set of words in use at the incident and the role type of each of the communication devices.

18 . The method of claim 11 , further comprising:
providing, with an output device of each of the one or more communication devices, the unique wake word.

19 . The method of claim 11 , further comprising:
providing, with an output device of each of the one or more communication devices, an option indicating a request for a new wake word; receiving, with the electronic processor, the request for a new wake word from at least one communication device; selecting, with the electronic processor, a second unique wake word for at least one communication device based on the request and the determined phonetic distance; and providing, with the output device of the at least one communication device, the second unique wake word.

20 . The method of claim 11 , wherein determining, with the electronic processor, contextual information associated with the incident and the one or more communication devices further comprises calculating an ambient interference based at least on one selected from a group consisting of a historical incident ambient noise, a detected ambient noise, and a current weather condition.

Assignees

• Motorola Solutions Inc

Inventors

• Regan Sean
• Eneim Maryam
• King Melanie
• Prasad Manoj Prasad Nagendra

Classifications

• H04L67/535

  Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title

• H04W4/80

  Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication · CPC title

• H04W4/90

  Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS] · CPC title

• H04W4/029

  Location-based management or tracking services · CPC title

• G10L25/54

  for retrieval · CPC title