Open AccessThe Comprehensive Analysis Speech Recognition System
Author(s) -
Anubhav Soni,
Jitendra
Publication year - 2021
Publication title -
international journal of innovative research in computer science and technology
Language(s) - English
Resource type - Journals
ISSN - 2347-5552
DOI - 10.55524/ijircst.2021.9.6.27
Subject(s) - computer science , speech recognition , voice activity detection , speaker recognition , flexibility (engineering) , vocabulary , audio mining , speech analytics , speech technology , signal (programming language) , speech processing , human–computer interaction , natural language processing , linguistics , statistics , philosophy , mathematics , programming language
Automated computer speech detection has been a goal of research for almost four decades. The idea underlying the development of a voice recognition system is that it is beneficial for people to communicate with a computer, robot or another device via speech. Researchers want to utilize people's voices in an integrated environment to provide customers comfort and flexibility in today's era. Speech recognition is dependent on the input voice signal. It enables the computer to transform the voice signal to text or instructions using the technique of recognition and understanding. This article describes the fundamental concept of speaking recognition, types of voice recognition, difficulties with speech recognition, several ways to gather characteristics, and different pattern-matching algorithms to identify the different speakers. The technology of voice recognition is inspired by a wide vocabulary automated speech recognition system which allows languageindependent operation and continuous speaking in a foreign language.