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i-vector Machine Learning Challenge


NIST will coordinate a special i-vector challenge in late 2013 and 2014 based on data used in previous NIST Speaker Recognition Evaluations (SREs). 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 will be 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.


This challenge focuses on the development of new methods for using i-vectors for speaker detection in the context of conversational telephone speech. It 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.

More information regarding the challenge can be found in the evaluation plan

In order to register and participate, please visit the challenge site:

Updates will be posted to this webpage.

Lead Organizational Unit:


 NIST maintains a general mailing list for the i-vector Machine Learning Challenge . Relevant evaluation information is posted to the list. If you would like to join the list or have any question for NIST related to our speaker recognition evaluation, please email us at More information regarding the current challenge can be found on this page.