Speech to Text

Authors

  • Shiwangi Ukey Dept.Of Comp.Engg,D.Y.Patil Institute Of Technology,Pimpri,Pune,Maharashtra,India
  • Snehal Pawar Dept.Of Comp.Engg,D.Y.Patil Institute Of Technology,Pimpri,Pune,Maharashtra,India
  • Mamta Shivasharan Dept.Of Comp.Engg,D.Y.Patil Institute Of Technology,Pimpri,Pune,Maharashtra,India
  • Prof. Abha Pathak Dept.Of Comp.Engg,D.Y.Patil Institute Of Technology,Pimpri,Pune,Maharashtra,India

Keywords:

Google API, Audio Recognition System, TTS.

Abstract

For the past many decades, designers have processed speech for a good kind of applications starting from mobile
communications to automatic reading machines. Speech recognition reduces the overhead caused by alternate communication
strategies. Speech has not been used a lot of within the field of physical science and computers thanks to the complexness and kind
of speech signals and sounds. However, with trendy processes, algorithms, and strategies we will method speech signals simply and
acknowledge the text. During this project, we are about to develop an on-line speech-to-text engine. The system acquires speech at
run time through an electro-acoustic transducer and processes the sampled speech to acknowledge the expressed text. The
recognized text are often keep in an exceedingly file. We have a tendency to be developing this on robot platform victimization
eclipse bench. Text to Speech (TTS) which speaks the text in different languages. We are giving input to TTS and you can
convert your text into speech. After completion of the conversion, you can playback or create the sound file

Published

2017-05-25

How to Cite

Shiwangi Ukey, Snehal Pawar, Mamta Shivasharan, & Prof. Abha Pathak. (2017). Speech to Text. International Journal of Advance Research in Engineering, Science & Technology, 4(5), 631–635. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1579