In today’s technology-driven world, everything is based on different modes of technology. Whether its an automated text recognition or a robotic voice translation, technological advancement has set the standard high.
Today, you communicate with most of the big companies and instead of a person, an automated voice instructs you to press buttons and navigate through an option menu.
Often your android phones have Google Assistant to solve all the queries. The system which makes the entire scene work out is known as a speech recognition system.
How Does Speech Recognition System Work?
Speech Recognition works on human inputs that enable machines to react on inserted text, voice, or any other inputs. You can use speech recognition software at home and for businesses.
A certain range of software products allows users to dictate to their computers or on phones so that their words get converted to a text in a word processing or email document.
Which Algorithm is Used in Speech Recognition?
The algorithms used in this form of technology include PLP features, Viterbi search, deep neural networks, discrimination training, WFST framework, etc. If you are interested in Google’s new inventions, keep checking their recent publications on speech. The algorithms used by Google are available in an open-source format.
Is Speech Recognition a Machine Learning?
It would be better if we say machine learning groups are using speech recognition along with voice synthesis to bring in the power of input recognition for the benefit of all.
Speech is powerful which brings a human dimension to different electronic devices. In the present-day world, cloud-based computers are used by people that can be controlled by voice, offering conversational responses to a wide range of queries.
Speech recognition training allows AI models to understand unique inputs present in the recorded audio data. Machine learning has still a long way to achieve perfection in many cases.
The software is programmed in such a way that it entirely covers up all nuances present in human speech like speech length, voice pattern, tone frequency, etc.
However, to properly train a speech recognition system, you need to provide quality information for processing the input out there.
These forms of systems are highly beneficial for people with disabilities. If a person has lost the use of his hands or visually impaired then they can make use of automatic speech recognition or advanced voice recognition to make natural voice recognition work.
Advantages of the Speech Recognition System
Makes Work Processes more Efficient
Through the use of speech recognition, document processing becomes shorter and efficient. Documents can be generated within a short period quicker and faster than ever before as they are typed. The software also saves a great deal of employment of labor for documentation work.
Playing Back Simple Information
Nowadays customers want to have fast access to their queries. In many circumstances, customers do not want to speak to an operator. That moment, speech recognition can be used to provide basic information to the user.
Helping Aid for Visually and Hearing Impaired
People with visual and hearing impairments can highly rely on screen readers along with text-to-speech dictation systems. This software can help to convert audio into text which is regarded as critical for people having visual and hearing impairments.
Enables Hands-Free Communication
When your eyes and hands are unable to interact, then speech becomes incredibly powerful. Devices like Amazon’s Alexa, Apple’s Siri or Google Maps come to rescue to reduce misinterpreted navigation or communication.
How to Leverage an API?
API stands for Application Programming Interface(API). It is a set of programming instructions for accessing a web-based tool or software. A software company usually releases its API to the public so that the software developers can design products powered by its service. An API is basically a software-to-software interface and not a user programming interface.
As speech recognition converts speech to text, there are many machine learning like Python, API’s, Google Cloud Speech API, that helps in a speech to text, text to speech, audio dictation along with automated voice generator.
Categories under which Speech Recognition Work
There are normally two domains under which speech recognition works which are small vocabulary and a large vocabulary.
Many Users Small Vocabulary
These systems are best for automatic telephone answering activity. The users can speak with a lot of variations in accent and speech patterns, yet the system will understand them. However, the usage is limited to a small number of inputs such as basic menu options.
Limited Users Large Vocabulary
These systems are ideal for a business environment where a small number of users can work with the program. The system works with a good level of accuracy and has a vocabulary in thousands. You are required to train the system so that it works best with a small number of primary users.
Brief about Text-To-Speech Technology
Text-To-Speech is a type of technology that can assist to read aloud digital text. It is often known as “read aloud” technology for its functionality.
With just a click of a button, TTS can take words on a digital device and can convert them into audio. TTS is very useful for kids and disables persons who struggle with reading. It can also help kids with writing and editing skills for school projects.
TTS can work on nearly every digital device with all kinds of text files such as word page documents, online web pages, etc. The voice on TTS is computer generated and the reading speed can be adjusted depending upon your need.
Text-To-Speech has many applications across different fields. It can increase user engagement, accessibility for high-end productive results.
Indian TTS is an Indian based startup working for developing AI embedded skills into speech recognition products so that reading and writing never becomes a hurdle in anyone’s life.
The start-up has a built-in aim to foster an environment where the interface of different electronic devices becomes user-friendly.
With audio dictation software and Interactive Voice Response(IVR), the startup tries to increase customer engagement, recognizes natural accent/voice to integrate real-time solutions.
It aims to offer the latest speech technology with both offline TTS/ASR solutions. The products have embedded speech recognition in different languages that include Bengali, Hindi, Kannada, Tamil, Gujarati, and more.
NVDA Screen Reader for Visually Impaired
NVDA that stands for Non-Visual Desktop Access is a non-paid screen reader that enables a visually impaired person to use different electronic devices. It reads aloud the text on the screen in a robotic voice.
You just need to install it into your computer and can plug in the Indian TTS addon in NVDA. It can detect both male and female voices. It helps in browsing the web, reading, and writing, sending and receiving emails, panel applets, and other generic tasks.
NVDA makes the life of a disabled person easy to a large extent by providing them technical support in terms of disability. It opens up doors for them to explore the world of reading and writing similar to any other non-disable a person.
Now and then technology is changing rapidly and so is the speech recognition technology. A lot of research work in the proper direction is needed to harness the ultimate benefits of speech technology.
Speech Recognition can turn into the next big thing in the field of communication, business, health, tourism, and more. The in-depth research work can help everyone to grow and adapt to different algorithms for future benefits. What is needed is deep monitoring and analysis of different upcoming changes in the field of human interaction.
