SBIR/STTR Research Award

Machine Learning Tool for Text to Speech Transcription for Air Force Command Post

Award identifier f6e5258afcdccc9f06717adb1e013d89e91c915c7d4cf377c1c422ca6ac758eeAwarding agency Department of Defense · Air Force

Award amount

$49,975

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
ADDX CORPORATION
Proposal award date
2021-06-01
Contract end date
2021-09-06
UEI
T4QLGX92KC66
Solicitation number
X20.3
Topic code
AF203-CSO1

Research abstract

Addx specializes in cloud-native data analytics solutions which forms the backbone of their Speech to Text solution. Addx Speech to Text uses machine learning to improve speech to text transcription accuracy for messages that are received and utilize AI to automate the distribution of those transcribed messages to notify the appropriate personnel. This will reduce man hours in trying to convey the same message over and over. It will also reduce risks to Airmen as important information will be able to reach decision makers faster and more accurately.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

3 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $209,042. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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