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"Can Humans Correct Errors From System? Investigating Error Tendencies in ..."

Yuta Ide et al. (2022)

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DOI: 10.21437/INTERSPEECH.2022-10580

access: open

type: Conference or Workshop Paper

metadata version: 2023-06-21

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  dblp key:
  - conf/interspeech/IdeSNO22
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  - https://dblp.org/rec/conf/interspeech/IdeSNO22
Yuta Ide, Susumu Saito, Teppei Nakano, Tetsuji Ogawa:
Can Humans Correct Errors From System? Investigating Error Tendencies in Speaker Identification Using Crowdsourcing. INTERSPEECH 2022: 5100-5104

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