Abstract
Speech represents the most natural and basic method of communication for living beings. Speech provides the most direct and natural way for humans, and even humans and machines, to communicate. People who do not have disabilities can converse with each other in natural language, however people who have disabilities, such as Deafness or Dumbness, can only communicate by texting and sign language. But one can use sign language when the other person is near to us. Speech detection/recognition is a segment of computer science which allows the computer to recognize and translate spoken language into text. Speech detection technology gives machines the ability to identify and respond to spoken commands. If we need to send any information, we can make audio and send it to them. Every time we speak or play audio, it consists of some signals. These signals are used to make communication between humans and machines. The current systems can only have applications on speech to text conversion. The proposed system tries to implement more by converting audio to text and as well as text to speech which are more useful. This project will aid in the conversion of audio to manuscript and manuscript to speech. This project also translates the languages which is helpful for illiterate people too.
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Panapana, P., Pothala, E.R., Nagireddy, S.S.L., Mattaparthi, H.P., Meesala, N. (2023). Automatic Bidirectional Conversion of Audio and Text: A Review from Past Research. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-031-35501-1_30
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