New! There is a new dataset that contains the trial keys and the segment keys.
NIST i-vector Machine Learning Challenge
The National Institute of Standards and Technology (NIST) i-vector Machine Learning Challenge.
The National Institute of Standards and Technology (NIST) is coordinating a special speaker recognition challenge. This challenge is intended to foster interest in this field from the machine learning community and its early results will be featured in a special session of the Odyssey 2014 International Workshop
on Speaker and Language Recognition. It is based on the i-vector paradigm widely used by state-of-the-art speaker recognition systems. By providing such i-vectors directly and not utilizing audio data, the evaluation is intended to be readily accessible to participants from outside the audio processing field. The challenge is designed to foster research progress, including goals of:
- Exploring new ideas in machine learning for use in speaker recognition
- Making the speaker recognition field accessible to more participants from the machine learning community
- Improving the performance of speaker recognition technology
To learn more about the challenge, please read this evaluation plan
or send questions to firstname.lastname@example.org
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