VOICE2SQL
We built VOICE2SQL with the goal of offering alternative ways for disable people to interact with computers and databases. Since the information accessed by computers is commonly stored in databases, a method to retrieve information from databases by using voice and natural language (English, Spanish) has always been thought as an ideal solution for this problem.
VOICE2SQL is the first attempt to translate SQL sentences directly from sentences in natural language. Algorithms and prototypes of VOICE2SQL have recently been published in refeered international congress and books:
- Omar U. Florez, Voice2SQL: Hybrid Intelligent System for the recovery of information from databases by means of Spoken Natural Language, 2nd International IEEE Conference on Intelligent Information Hiding and Multimedia Signal Processing, California, USA. 2006
- Omar U. Florez and Ernesto Cuadros-Vargas, Improving Human Computer Interaction through Spoken Natural Language, IEEE Symposium on Computational Intelligence in Image and Signal Processing, Hawai, USA. 2007
- Omar U. Florez and SeungJin Lim, Modeling Query Events in Spoken Natural Language for Human-Database Interaction, Advances in Human-Computer Interaction, ISBN 978-3-902613-38-7. 2008
