M. McLaren, L. Ferrer, D. Castan and A. Lawson, “The Speakers in the Wild (SITW) Speaker Recognition Database,” in Proc. INTERSPEECH 2016, pp. 812-822, September 2016.
Abstract
The Speakers in the Wild (SITW) speaker recognition database contains hand-annotated speech samples from open-source media for the purpose of benchmarking text-independent speaker recognition technology on single and multi-speaker audio acquired across unconstrained or “wild” conditions. The database consists of recordings of 299 speakers, with an average of eight different sessions per person. Unlike existing databases for speaker recognition, this data was not collected under controlled conditions and thus contains real noise, reverberation, intra-speaker variability and compression artifacts. These factors are often convolved in the real world, as the SITW data shows, and they make SITW a challenging database for single- and multi-speaker recognition.