A Pilot Research on Android Based Voice Recognition Application
Ajins Joy1, R. Saranya2
1Ajins Joy, JRF (Junior Research Fellow) in the Department of School of Computer Science and Engineering at Vellore Institute of Technology (VIT), Chennai, Tamilnadu, India.
2Dr.R. Saranya, Assistant Professor, Department of Computer Science, Central University of Tamil Nadu, Thiruvarur, Tamilnadu, India. 

Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7272-7277 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5284118419/2019©BEIESP | DOI: 10.35940/ijrte.D5284.118419

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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: In recent trend, Speech recognition has become extensively used in customer service based organization. It has acquired great deal of research in pattern matching employed machine learning (learning speech by experience) and neural networks based speech endorsement domains. Speech recognition is the technology of capturing and perceiving human voice, interpreting it, producing text from it, managing digital devices and assisting visually impaired and older adults using unequivocal digital signal processing. In this paper we have presented a comprehensive study of different methodologies in android enabled speech recognition system that focused at analysis of the operability and reliability of voice note app. Subsequently we have suggested and experimented an android based speech recognizer app viz. Annotate which predominately focus on voice dictation in five different languages (English, Hindi, Tamil, Malayalam and Telugu) and extracting text from image using Automatic Speech Recognition (ASR) and Optical Character Recognition (OCR) algorithm. Finally, we identified opportunities for future enhancements in this realm.
Keywords: Speech Recognizer . Recognizer Intent . Amazon app . Sqlite database . Voice note.
Scope of the Article: Pattern Recognition and Analysis.