Voice Speech and Recognition—An Overview

Abstract

In the present scenario, when the automation has gain so much strength, all the support and machinery to human conversation are getting linked with voice controls. In all the field be it Internet of things, artificial intelligence or communication. In order to reduce the efforts on giving instructions and implementing them, the world has changed its behavior toward voice recognition. The voice speech recognition allows the user to understand the spoken voice commands and generate the result on the basis of that. This deals with the voice received and generating outputs based on the hearing capability of the machine. The result is generated and is made available for the further. Voice-based devices or applications are growing a lot. It uses state art process in speech-to-text, natural language understanding, deep learning and text-to-speech. The first step to build a voice application is to listen for user voice constantly and then understand the voice to understand and implement things. This deals with understanding in various languages under the section and reflects the work assigned to it. Speech recognition which is also known as automatic speech recognition (ASR) and voice recognition recognizes the spoken words and phrases and converts them to a machine-readable text, and speech recognition technology let users control digital devices by speaking instead of using conventional tools such as keystrokes, buttons or keyboards. From automated phone systems to Google voice to digital assistant, i.e., voice recognition, ASR helps in daily life activities. Even the bluetooth used in cars uses ASR. Voice recognition has taken a complete scan all over the arena. The tool of automation in voice further deals with the communication among the machines without the code access and suggestively talking with the help of compatible recognizable words. This would strengthen the compatibility and speed up the automation process by decreasing the amount of efforts made. Such work would overcome the error and would possibly give a better way of transformation. As Edmund L. Andrews researcher from Stanford recently on March 23, 2020 said that the possibility of error could be minimized to a great extent with the evolution under this process.