Text-to-Speech Conversion Technology using Deep Learning Algorithms

Text-to-speech conversion involves the transformation of written text into speech. The proposed system, which does the conversion of text to speech, is implemented by using deep learning algorithms. Planned algorithms that rely on Long Short-Term Memory (LSTM) have created speech that sounds natural or like human speech. There are different benefits and limitations of the LSTM algorithm and different strategies have been adopted to overcome the limitations. Python coding is done on Google Colaboratory which requires no prior installation and the notebook is executed on the cloud. Output is obtained in the form of audio which can be stored and downloaded at the intended location.