Open AccessEvaluation methodology for Speech To Text Services similarity and speed characteristics focused on small size computers
Author(s) -
J. E. Aguilar-Chacon,
D. A. Segura-Torres
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/844/1/012039
Subject(s) - computer science , merge (version control) , ibm , similarity (geometry) , speech recognition , nearest neighbor search , speedup , artificial intelligence , information retrieval , operating system , materials science , image (mathematics) , nanotechnology
The currently small size computers use and the high tendency to use human – voice interfaces to interact with any systems lead to merge these technologies. But implements strong Speech To Text algorithms on a small micro controlled system will reduce its computational capacity getting lower the system performance to execute other tasks. This work presents some selection criteria and a methodology to evaluate the Speech To Text services, using similarity and speed as metrics and the results obtained from an experiment deployed on a Raspberry Pi 3 using the proposed methodology with Spanish speakers. The application of the proposed methodology helped to detect the Google’s STT system as a best option over IBM and Microsoft STT systems because shows a faster conversion and better similarity measures.