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Arya College Cousellor Arun Arya

Prof. (Dr.) Arun Arya

Contact for Admission

Arun College Cousellor Arya

Prof. (Dr.) Arun Arya

A complete guide to Voice Recognition Technology

Voice Recognition Technology

Voice and speech recognition have progressed leaps and bounds in recent times. Humans depend too much on mobiles these days. According to a study by the students of Top Engineering Colleges India, most people on average spend 3 hours and 15 minutes on their phones. That is a lot of human dependence on a single piece of tech.

Even multinational conglomerates across the globe are coming to realizing that a smooth and efficient human to computer interaction is the need of the hour. They have identified voice recognition software as a much-needed tool to streamline the tasks that are otherwise conventionally done. The global voice-based smart speaker market is also expected that by the end of this year, almost half of all searches across the internet will be voice-based.

E-commerce is one domain that has witnessed major incorporation of voice commands, compared to the traditional web searches. The voice-based shopping is expected to jump to billions in the coming few years. These forecasts only point towards the fact that consumer behavior is undergoing a seismic shift. While thumbing the screens of your phones or accessing the internet via virtual assistants, have you ever asked yourself how does voice recognition work?

What is a Voice Recognition Software - How Does a Computer Even Know What I Am Saying?

Voice or speech recognition software enables you to feed data in a computer using your voice. More advanced versions of voice recognition software are capable of decoding human voice to perform a command accordingly. So, as you speak into a voice recognition system, your voice is converted into text.

The Automatic Speech Recognition (ASR) system was only capable of recognizing single digits. But today, this technology is used by the students of best engineering colleges in India in almost every professional field including defense, medicine and healthcare, law, education, telecommunications, and personal computing.

Why is Speech Recognition So Difficult?

Humans started to use language as means of communication around 2 million years ago. But when it comes to teaching machines how to understand, analyze and decode human speech students of Private Engineering Colleges India are far from attaining perfection.

Human speech is not as easy as it seems. It has taken us millions of years of evolution to reach the stage where we can associate our thoughts with unique sounds, process them coherently so that the person we are talking to can get the message easily. For the listener as well, the message must be received (via sound waves) as it was intended to be despite the background noise and other linguistic barriers. Humans have only mastered this art after millions of years of evolution. A computer, no matter how fast and complex it can be, will certainly fail to understand and analyze the following aspects of speech recognition:

1. Suppression of noise

Humans can certainly separate useful parts of a speech from ambient noises and background jibber-jabber. A computer will take it as a part of the whole input.

2. Speed of verbal communication

Humans are capable of understanding slow and fast speech, high- and low-pitched voices laced with emotions and expressions. Most of the ASR system struggle when it comes to understanding a speech consisting of more than 200 words per minute.

3. Accents and dialects

Even humans fail to understand dialects from certain parts of the globe. To expect a computer to understand unique dialects and accents is way too premature at this stage.

4. Context of the speech

Humans can understand the context of a conversation from the simplest of prompts, but the ASR system requires direct and precise instructions for the students of engineering colleges Jaipur. This is often time-consuming and tedious and defeats the whole purpose of instant commands.

Human to human conversation is full of expressions, anecdotes, and emotions. With computers, we have not yet hit the phase where we can code them to interact with users like other humans. It would be extremely interesting to see how engineers and scientists are able to induce something as natural and human as verbal communication into computers that run on direct commands and instructions.

Future of Voice Recognition Software: Where is It Headed?

Voice and speech recognition have already started to dominate our domestic lives. Smart devices such as Amazon’s Alexa and Google’s ‘Home’ hub have made a significant impact on the lifestyle of the urban population. Till a couple of years ago, we seemed to have pioneered touch screen devices and now it is believed that the future of consumer electronics is going to be hands-free.

Once the technical issues such as noise, dialects, and incorporation of more regional languages are sorted, the voice and speech recognition technology will surely change the way students of private engineering colleges in Rajasthan interact with the world around us. Corporations are also getting more and more aware of the importance of speech recognition as an efficient way of documentation and record-keeping.

Voice governed internet searches are bound to affect the search engine dynamics. So, voice SEO is going to play a crucial role. Digital marketers will have to equally invest, if not more, in voice-based searches than they do in traditional SEO. Given that the next decade is going to be the decade of wearable tech and with the incorporation of voice command systems, the way humans interact with computers will experience a massive change. Voice and speech recognition are here to stay until something more natural and efficient comes up.

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