|María Del Saz, 2016: "El reconocimiento del habla ante la variedad de una
lengua: la africada dento-alveolar andaluza",
Onomázein 34, 278-295.
The quality of voice recognition within the field of speech technologies depends on the type
of system used and the application to which it is destined. One of the problems that it can
present is its degree of robustness with dialectal variants of a language. In this study, an
analysis is done of the recognition rate of Andalusian aspiration before the voiceless dentoalveolar
plosive by using Google Voice Search and untrained Windows 7, on the one hand,
and Windows 7 after a number of training sessions with a speaker, on the other hand.
Initially, Google Voice Search has greater robustness than Windows 7, which Windows 7
compensates as the number of training sessions increase. In general, it can be observed that
recognition robustness is affected by factors such as the number of possible lexical
candidates and the context of the entries.