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We utilized an insertion-deletion-substitution channel to model the transcription errors. With a parallel channel model we can easily combine the crowd inputs.
PDF | On Sep 8, 2016, Purushotam Radadia and others published On Employing a Highly Mismatched Crowd for Speech Transcription | Find, read and cite all the ...
This paper considers transcription of spoken Russian words by a rural Indian crowd that is unfamiliar with Russian and has very limited knowledge of English ...
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Sep 7, 2016 · Recent work has shown the feasibility of employing a mismatched crowd for speech transcription. However, it is yet to be established whether ...
PDF On Employing a Highly Mismatched Crowd for Speech. ... On Transcribing Russian with a Highly Mismatched Indian Crowd. ... mismatched speech transcription ...
The crowd workers can be requested to listen to segments of this speech and provide us with English letter sequences that most closely match what they hear. The ...
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Acoustic Modeling for Under-resourced Language using Mismatched Transcriptions · Speech recognition of under-resourced languages using mismatched transcriptions.
On Employing a Highly Mismatched Crowd for Speech Transcription. Conference Paper. Full-text available. Sep 2016. Purushotam Radadia ...
Ac- curacy of mismatched crowdsourcing is best when many crowd workers transcribe the same utterance, because each crowd worker's noisy transcription provides ...
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... Classification via. Crowdsourcing With a. Acquiring speech transcriptions using mismatched. On. Transcribing Russian with a Highly. Mismatched Indian Crowd.