2 ms·
Can this be attributed to lack of good challenging open and large enough dataset that can be used as benchmark? The switchboard dataset was "challanging" in it
by sytelus 9y ago
Can this be attributed to lack of good challenging open and large enough dataset that can be used as benchmark?
The switchboard dataset was "challanging" in its time but pointless from current standards. One doesn't have to look beyond trying to do voice dictation in car to see how horrible current speed recognition systems are compared to humans.
- woodson 9y agoThere are the CHiME challenges (http://spandh.dcs.shef.ac.uk/chime_challenge/ http://spandh.dcs.shef.ac.uk/chime_challenge/) that have test data with distant microphone speech and noisy speech data, and IARPA ran its Automatic Speech recognition In Reverberant Environments (ASpIRE) Challenge in 2014/15 (https://www.iarpa.gov/index.php/working-with-iarpa/prize-challenges/306-automatic-speech-in-reverberant-environments-aspire-challenge https://www.iarpa.gov/index.php/working-with-iarpa/prize-cha...).