Home / Current Issue / Paper 1702688
Kotlin Framework for Number Retrieval from Phone Call
Subject area: Science,Engineering and Technology · Area of research: Computer Engineering
Abstract
Speech is the natural and most important form of communication for human beings. Speech-To-Text (STT) system takes a human speech utterance as an input and requires string of words as output. The objective of this system is to extract, characterized and recognize information about speech. Past research in mathematics, acoustic and speech technology have provided many methods for converting data that can be considered as information if interpreted correctly. In order to find some statistical relevant information from incoming data, it is important to have mechanism for reducing the information in each segment in audio signal into a relatively small no of parameters, or features. Audio features extraction serves as the basic for a wide range of applications in the areas of speech processing, multimedia data management and distribution, security, biometric and bioacoustics. The features can be extracted either directly from the time domain signal or from the transformation domain depending upon choice of the signal analysis approach.
Keywords
Kotlin, RecognizerIntent, Speech-To-Text, Audio
References
[1] Sanjib Das, "Speech Recognition Technique: A Review”, International Journal of Engineering Research and Applications (IJERA) ISSN: 2284-9622 Vol. 2, Issue 3, May-Jun 2012.
[2] Pratik K. kurzekar , Ratnadeep R. Deshmukh, Vishal B. Waghmare, Pukhraj P. Shrishrimal," A comparative Study of Feature Extraction Techniques forSpeech Recognition System", International Journal of Innovative Research in Science, Engineering andTechnology(An ISO 3297: 2007 certified organization) Vol. 3, Issue 12, December 2014.
[3] Santosh K. Gaikwad, Bharti W.Gawali,Pravin Yannawar, "A Review on Speech Recognition Technique", International Journal of Computer Applications (0975-8887)Vol. 10-No.3, November 2010.
[4] "A Review on Speech To Text conversation Methods" , International Journal of dvanced Reaserch in Computer Engineering & Technology(IJARCET) Volume 4 Issue 7, July 2015.
[5] B. Raghavendhar Reddy, E. Mahender, "Speech to Text conversation using Android Platform ", International Journal of Engineering Research and Applications (IJERA) ISSN: 2284-9622 Vol. 3, Issue 1, January-February 2013.
[6] Suman K. Saksamudre, P.P. Shrishrimal, R.R. Deshmukh," A Review on Different Approaches for Speech Recognition System", International Journal of Computer Applications (0975-8887) Vol. 115-
How to cite this paper
@article{1702688,
author = {Komal D. Pednekar, Romila R. Hotekar, Aaditi A. Shivalkar, Mandar S. Joshi},
title = {Kotlin Framework for Number Retrieval from Phone Call},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {4},
number = {11},
pages = {22-28},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702688.pdf},
abstract = {Speech is the natural and most important form of communication for human beings. Speech-To-Text (STT) system takes a human speech utterance as an input and requires string of words as output. The objective of this system is to extract, characterized and recognize information about speech. Past research in mathematics, acoustic and speech technology have provided many methods for converting data that can be considered as information if interpreted correctly. In order to find some statistical relevant information from incoming data, it is important to have mechanism for reducing the information in each segment in audio signal into a relatively small no of parameters, or features. Audio features extraction serves as the basic for a wide range of applications in the areas of speech processing, multimedia data management and distribution, security, biometric and bioacoustics. The features can be extracted either directly from the time domain signal or from the transformation domain depending upon choice of the signal analysis approach.},
keywords = {Kotlin, RecognizerIntent, Speech-To-Text, Audio},
month = {May},
}