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Conference papers
An active learning method for speaker identity annotation in audio recordings
Abstract : Given that manual annotation of speech is an expensive and long process, we attempt in this paper to assist an anno-tator to perform a speaker diarization. This assistance takes place in an annotation background for a large amount of archives. We propose a method which decreases the intervention number of a human. This method corrects a diarization by taking into account the human interventions. The experiment is done using French broadcast TV shows drawn from ANR-REPERE evaluation campaign. Our method is mainly evaluated in terms of KSR (Keystroke Saving Rate), and we reduce the number of actions needed to correct a speaker diarization output by 6.8% in absolute value.
Cited literature [23 references]
https://hal.archives-ouvertes.fr/hal-01451532
Contributor : Hakim Amokrane <>
Submitted on : Thursday, April 6, 2017 - 9:02:16 AM
Last modification on : Wednesday, October 9, 2019 - 11:44:04 AM
Long-term archiving on: : Friday, July 7, 2017 - 12:21:16 PM
Contributor : Hakim Amokrane <>
Submitted on : Thursday, April 6, 2017 - 9:02:16 AM
Last modification on : Wednesday, October 9, 2019 - 11:44:04 AM
Long-term archiving on: : Friday, July 7, 2017 - 12:21:16 PM
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