Design and Implementation of Speech to Text Conversion on Raspberry Pi
A. Pardha Saradhi1, A. Sai Kiran2, A. Dileep Kumar3, B. Srinivas4, M. V. Nageswara Rao5
1A. Pardha Saradhi, B.Tech, Department of ECE, GMR Institute of Technology, Rajam (A.P), India.
2A. Sai Kiran, B.Tech, Department of ECE, GMR Institute of Technology, Rajam (A.P), India.
3A. Dileep Kumar, B.Tech, Department of ECE, GMR Institute of Technology, Rajam (A.P), India.
4B. Srinivas, B.Tech, Department of ECE, GMR Institute of Technology, Rajam (A.P), India.
5Dr. M.V. Nageswara Rao, Professor, Department of ECE, GMR Institute of Technology, Rajam (A.P), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1815-1818 | Volume-8 Issue-6, April 2019 | Retrieval Number: F4024048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: It is proposed to implement a portable speech to text conversion system on a raspberry pi using neural networks and transfer of the predicted text to a remote receiver via simple mail transfer protocols.
Keyword: Kaggle, Softmax Function, Argmax Function, ASR (Automatic Speech Recognition).
Scope of the Article: Design and Diagnosis