2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/33101Text-to-speech conversion has traditionally been performed either by concatenating short samples of speech or by using rule-based systems to convert a phonetic representation of speech into an acoustic representation, which is then converted into speech. This paper describes a system that uses a time-delay neural network (TDNN) to perform this phonetic-to-acoustic mapping, with another neural network to control the timing of the generated speech. The neural network system requires less memory than a concatenation system, and performed well in tests comparing it to commercial systems using other technologies.6 pages, PostScriptNeural and Evolutionary ComputingHuman-Computer InteractionI.2.6; K.3.2text