Conversion of Acoustic Signal (Speech) Into Text By Digital Filter using Natural Language Processing
Abhiram Katuri1, Sindhu Salugu2, Gelli Tharuni3, Challa Sri Gouri4

1Abhiram Katuri, Department of ECM, Sreenidhi Institute of Science and Technology, Hyderabad (Telangana), India.
2Sindhu Salugu, Department of Industrial Design, National Institute of Technology, Rourkela (Odisha), India.
3Gelli Tharuni, Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad (Telangana), India.
4Challa Sri Gouri, Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad (Telangana), India.
Manuscript received on 19 August 2022 | Revised Manuscript received on 29 August 2022 | Manuscript Accepted on 15 October 2022 | Manuscript published on 30 October 2022 | PP: 14-18 | Volume-12 Issue-1, October 2022 | Retrieval Number: 100.1/ijeat.A38021012122 | DOI: 10.35940/ijeat.A3802.1012122
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Abstract: One of the most crucial aspects of communication in daily life is speech recognition. Speech recognition that is based on natural language processing is one of the essential elements in the conversion of one system to another. In this paper, we created an interface that transforms speech and other auditory inputs into text using a digital filter. Contrary to the many methods for this conversion, it is also possible for linguistic faults to appear occasionally, gender recognition, speech recognition that is unsuccessful (cannot recognize voice), and gender recognition to fail. Since technical problems are involved, we developed a program that acts as a mediator to prevent initiating software issues in order to eliminate even this little deviation. Its planned MFCC and HMM are in sync with its AI system. As a result, technical errors have been avoided. 
Keywords: Speech Recognition, MFCC, HMM, Acoustic, Artificial Intelligence.
Scope of the Article: Artificial Intelligence