International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 183 - Number 15 |
Year of Publication: 2021 |
Authors: Orlunwo Placida Orochi, Ledisi Giok Kabari |
10.5120/ijca2021921474 |
Orlunwo Placida Orochi, Ledisi Giok Kabari . Text-to-Speech Recognition using Google API. International Journal of Computer Applications. 183, 15 ( Jul 2021), 18-20. DOI=10.5120/ijca2021921474
Speech is the most natural mode of human communication. To enable machines to understand human speech, computers can act as an intermediary for human experts, allowing them to respond accurately and reliably to human voices.This can be accomplished by a text-to-speech recognition device, which allows a data processor to accurately interpret the language in which a message was written and translate it to an audio file that can be heard through a sound medium such as a speaker. The aim of the study is to use the Python programming language to introduce a text-to-speech model to see whether the messages written are read. Using Google API, text-to-speech conversion was successful.