TY - JOUR
AU - 
AB - International Journal of Computer Applications (0975 – 8887) Volume 183 – No. 15, July 2021 Orlunwo Placida Orochi Ledisi Giok Kabari Computer Science Department Computer Science Department Ignatius Ajuru University of Education Ignatius Ajuru University of Education language without speaking or speaking acknowledgment. ABSTRACT Speech is the most natural mode of human communication. To [3] suggested a speech check system using MFCC and a enable machines to understand human speech, computers can function matching and speaker modeling system using a act as an intermediary for human experts, allowing them to Vector Machine (SVM). The precision of the method is respond accurately and reliably to human voices. This can be compared by different orders of the use of the MFCC accomplished by a text-to-speech recognition device, which coefficients. The findings indicate a higher precision of 20 to allows a data processor to accurately interpret the language in 25 MFCC coefficients. Speech to text was not integrated and which a message was written and translate it to an audio file authentication was given and not identification was provided. that can be heard through a sound medium such as a speaker. The proposed Voice Reconnaissance System for security This paper uses Python 
TI - Text-to-Speech Recognition using Google API
JF - International Journal of Computer Applications
DO - 10.5120/ijca2021921474
DA - 2021-07-19
UR - https://www.deepdyve.com/lp/unpaywall/text-to-speech-recognition-using-google-api-2M9Th8hxnR
DP - DeepDyve
ER -