Speech recognition and AI: What you need to know

Speech recognition has developed massively over the past few years, with it now integrating into everyday life

Speech recognition, also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, is a capability that enables a program to process human speech into a written format. 

It is often confused with voice recognition, but speech recognition focuses on the translation of speech from a verbal format to a text one whereas voice recognition just seeks to identify an individual user’s voice.


Natural language processing (NLP)


Natural language processing (NLP) refers to the branch of AI that gives computers the ability to understand text and spoken words in much the same way human beings can.

NLP combines computational linguistics with statistical, machine learning (ML), and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment.

NLP can translate text from one language to another, respond to spoken commands, and summarise large volumes of text rapidly—even in real-time. It is very likely that you’ve interacted with NLP in the form of voice-operated GPS systems, digital assistants, speech-to-text dictation software, customer service chatbots, and other consumer conveniences. 


Uses of speech recognition


Speech technology has been deployed in digital personal assistants, smart speakers, smart homes, and a wide range of other products. The technology allows us to perform a variety of voice-activated tasks. 

Apple’s Siri and Google’s Alexa use AI-powered speech recognition to provide voice or text support whereas voice-to-text applications like Google Dictate transcribe your dictated words to text. Typing with your voice allows you to speak emails and documents into existence by hitting the microphone option on your device’s keyboard.

Voice search is the most common use of this technology. In 2021, it’s believed that 5 billion people will use voice-activated search and assistants around the world, a number that could rise to 6.4 billion in 2022.



Featured Articles

Securing the future of IoT with AI biometric technology

The world needs an IoT future, so It’s time to forget your password – for good. A new breed of AI-powered biometric security measures is required

EU networks plan to build a foundation for trustworthy AI

Artificial intelligence technologies are in their infancy, but commercial stakeholders must build them on foundations of trust, say research experts

ICYMI: Power users distrust AI and new National Robotarium

A week is a long time in artificial intelligence, so here’s a round-up of AI Magazine articles that have been starting conversations around the world

Reducing the impact of ecommerce with AI and ML

AI Applications

Now is the time for intelligent products and services

AI Strategy

The eyes of a machine: automation with vision

Machine Learning