Why Siri Had to Start in Beta

Benoit Maison:

I worked on speech recognition with IBM Research for nearly six years. We participated in DARPA-sponsored research projects, fields trials, and actual product development for various applications: dictation, call centers, automotive, even a classroom assistant for the hearing-impaired. The basic story was always the same: get us more data! (data being in this case transcribed speech recordings). There is even a saying in the speech community: “there is no data like more data”. Some researchers have argued that most of the recent improvements in speech recognition accuracy can be credited to having more and better data, not to better algorithms.

Tuesday, 6 December 2011