MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation (MCE) Plan, Dataset and Baseline System

@article{Shon2018MCE2T,
  title={MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation (MCE) Plan, Dataset and Baseline System},
  author={Suwon Shon and Najim Dehak and Douglas A. Reynolds and James R. Glass},
  journal={ArXiv},
  year={2018},
  volume={abs/1904.04240}
}
  • Suwon Shon, Najim Dehak, +1 author James R. Glass
  • Published in INTERSPEECH 2018
  • Computer Science, Engineering
  • ArXiv
  • The Multitarget Challenge aims to assess how well current speech technology is able to determine whether or not a recorded utterance was spoken by one of a large number of 'blacklisted' speakers. It is a form of multi-target speaker detection based on real-world telephone conversations. Data recordings are generated from call center customer-agent conversations. Each conversation is represented by a single i-vector. Given a pool of training and development data from non-Blacklist and Blacklist… CONTINUE READING

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