Incident Accuracy Reporting System (IARS) is a Content Management application that addresses the issue of transparency surrounding police incident reporting by allowing witnesses and/or victims to directly submit evidence (images, videos)
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Allow user to flag incorrect Speech to Text transcription #53
Background on the problem the feature will solve/improved user experience
Speech to Text transcription errors may occur in recordings that may lead in erroneous inconsistencies in our AI model.
Describe the solution you'd like
Provide a means of user/crowdsource flagging of incorrect phrases in speech to text transcription so that police-eye witness inconsistencies are not attributed to machine error.
Proposed user flow:
Review a transcription
Find a word that doesn't make sense
listen to the recording at that point
flag that phrase/time stamp
flagging is added to blockchain as well
downstream third party/admin is able to review that flag and evaluate if any found police-eye witness inconsistencies were related with that flagged
Concerns: this might also be abused so we'd have to find a way to mitigate against manipulating that.
Tasks
investigate what percent of inconsistencies can be due to speech to text errors
Acceptance Criteria
As a user, I'm able to read a transcribed report
As a user, I'm able to flag individual words that might be transcribed incorrectly at the appropriate timestamp in the recording and the transcript
As a member of the public, i can see all the words that have been flagged openly on the blockchain
As an administrator, I'm able to investigate if inconsistencies found by AI are due to speech-to-text mistakes.
Background on the problem the feature will solve/improved user experience
Speech to Text transcription errors may occur in recordings that may lead in erroneous inconsistencies in our AI model.
Describe the solution you'd like
Provide a means of user/crowdsource flagging of incorrect phrases in speech to text transcription so that police-eye witness inconsistencies are not attributed to machine error.
Proposed user flow:
Concerns: this might also be abused so we'd have to find a way to mitigate against manipulating that.
Tasks
Acceptance Criteria
Out of Scope