Sentence examples for evaluation database from inspiring English sources

The authors achieved a 45% detection accuracy on the CLEAR evaluation database.

The experiments are performed using the NIST LRE 2007 evaluation database.

The Edinburgh Evaluation Database (DB1) [5] contains one male and one female speaker saying 50 English sentences.

Since all query songs are popular music, EMDs between query songs and popular pieces in the evaluation database tend to be smaller than the pieces of other genres.

However, as the evaluation database used in that study was relatively small, it is difficult to draw any firm conclusions from this work.

The evaluation database consisted of 50 other musical pieces excerpted from the RWC Music Database: Musical Genre RWC-MDB-G-2001 RWC-MDB-G-2001 RWC-MDB-G-2001 RWC-MDB-G-2001

This quality review process covered all 2011 evaluation reports submitted to the UNICEF Global Evaluation Database by the cut-off date of April 2012.

Methodology: The quality review process and this meta-evaluation cover all of the 2012 reports submitted to the Global Evaluation Database before May 2013.

Includes Cochrane Database of Systematic Reviews; Database of Abstracts of Reviews of Effects; Cochrane Central Register of Controlled Trials; Cochrane Database of Methodology Reviews; Cochrane Methodology Register; Health Technology Assessment Database and NHS Economic Evaluation Databasee.

It also includes a link to DANIDA Evaluation database.

Further, an additional search was done of the Health Economics Evaluation Database (HEED).