Development of Voice Recognition Technologies for Bottom Trawl Survey Applications
Project (PRJ) | Alaska Fisheries Science Center (AFSC)GUID: gov.noaa.nmfs.inport:26535 | Updated: August 9, 2022 | Published / External
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Summary
Groundfish surveys conducted at the Alaska Fisheries Science Center (AFSC) are a critical source of fisheries independent data for stock assessments and ecosystem monitoring, however data flow and acquisition limit the speed and accuracy of data collected. The increased complexity of our fisheries and ecosystem surveys have prompted the AFSC to recently develop an Integrated Data Acquisition System (IDAS) that utilizes Android tablets, Bluetooth technology and a centralized database for data acquisition. However many of the devices we hope to adopt use keyboard or stylus input limiting the full development of IDAS due to the need to constantly interact with the touchscreen creating a slow, cumbersome process. To achieve the greatest advantage of the system we require the integration of Voice Recognition technology (VRT) to provide the scientists the freedom to collect data in a “hands-free” environment. We propose partnering with a commercial technology company that focuses on voice recognition to assist in its development to incorporate into IDAS. Successful integration of VRT into our application can be shared with other Fisheries Science Centers and their own survey needs.
Child Items
No Child Items for this record.
Contact Information
Point of Contact
Jerry Hoff
jerry.hoff@noaa.gov
Item Identification
Title: | Development of Voice Recognition Technologies for Bottom Trawl Survey Applications |
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Short Name: | Development of Voice Recognition Technologies for Bottom Trawl Survey Applications |
Status: | In Work |
Abstract: |
Groundfish surveys conducted at the Alaska Fisheries Science Center (AFSC) are a critical source of fisheries independent data for stock assessments and ecosystem monitoring, however data flow and acquisition limit the speed and accuracy of data collected. The increased complexity of our fisheries and ecosystem surveys have prompted the AFSC to recently develop an Integrated Data Acquisition System (IDAS) that utilizes Android tablets, Bluetooth technology and a centralized database for data acquisition. However many of the devices we hope to adopt use keyboard or stylus input limiting the full development of IDAS due to the need to constantly interact with the touchscreen creating a slow, cumbersome process. To achieve the greatest advantage of the system we require the integration of Voice Recognition technology (VRT) to provide the scientists the freedom to collect data in a “hands-free” environment. We propose partnering with a commercial technology company that focuses on voice recognition to assist in its development to incorporate into IDAS. Successful integration of VRT into our application can be shared with other Fisheries Science Centers and their own survey needs. |
Purpose: |
This project was in response to the Advanced Sampling Technologies RFP. |
Keywords
Theme Keywords
Thesaurus | Keyword |
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UNCONTROLLED | |
None | advanced sampling technologies |
None | bottom trawl survey |
None | hands-free environment |
None | IDAS |
None | integrated data acquisition system |
None | voice recognition technology |
None | VRT |
Physical Location
Organization: | Alaska Fisheries Science Center |
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City: | Seattle |
State/Province: | WA |
Country: | USA |
Location Description: |
7600 Sand Point Way NE, Building 4 |
Support Roles
Point of Contact
Date Effective From: | 2015 |
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Date Effective To: | |
Contact (Person): | Hoff, Jerry |
Email Address: | jerry.hoff@noaa.gov |
Catalog Details
Catalog Item ID: | 26535 |
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GUID: | gov.noaa.nmfs.inport:26535 |
Metadata Record Created By: | Jeremy Mays |
Metadata Record Created: | 2015-08-19 19:38+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2022-08-09 17:11+0000 |
Metadata Record Published: | 2016-05-18 |
Owner Org: | AFSC |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2016-05-18 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2017-05-18 |