Papers by John Mendonca
Towards Speaker Verification for Crowdsourced Speech Collections (2022.lrec-1)
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| Challenge: | Existing methods to detect low quality work do not address the correctness of the data. |
| Approach: | They propose an unsupervised method for measuring speaker metadata plausibility of a collection, i.e., evaluating the match (or lack thereof) between contributors and speakers. |
| Outcome: | The proposed method shows high precision in automatically classifying contributor alignment (>0.94). |