How Does Speech Recognition Work? 

Speech recognition software has come a long way since its first inception in the 1950s. Back then, this technology could only understand up to 16 words, including the digits 0 to 9. 

Now, we use speech recognition technology in our everyday lives, with an increasing amount of people using assistants like Google Home, Siri, and Amazon Alexa.

 

But, what exactly is speech recognition software?

Speech recognition software is a form of technology that is capable of processing human speech, interpreting it, and transcribing it into written text. 

This technology is not only used in our everyday lives but it is also key to improving productivity in our busy workplaces. 

From the healthcare industry to the legal sector, speech recognition is a crucial part of streamlining admin processes. 

This solution improves efficiency by freeing users from their keyboards and saving them precious time that can be used on more demanding tasks.

So, how does speech recognition work?

At its core, speech recognition software works by breaking down a speech recording into individual sounds. 

This technology then analyses each sound and uses an algorithm to find the most probable word fit for that sound. Finally, those sounds are transcribed into text.

The process of speech recognition can be broken down into 3 stages:

  • Automatic speech recognition (ASR)
  • Natural language processing (NLP)
  • Text-to-speech (TTS)

Automatic Speech Recognition

Automatic speech recognition (ASR) corresponds to the process of digitising a recorded speech sample. The speaker’s voice template is broken up into small segments of tones that can be visualised in the form of spectrograms.

Natural Language Processing

The next step in the speech recognition process is to use a natural language processing (NLP) algorithm to analyse and transcribe each individual spectrogram.

AI-based natural language algorithms predict the probability of all words in a language’s vocabulary. A contextual layer is added to help correct any potential mistakes.

This stage is extremely important. Because if the speech recognition software that you’re using doesn’t have an appropriate dictionary for your profession, it is more likely to result in errors in recognising industry-specific words.

How does speech recognition work - Lexacom Echo


Lexacom Echo has revolutionised the professional speech recognition market by providing users with professional-grade natural language technology that supports profession-specific dictionaries.

The profession-specific vocabularies for medical, legal, and business are fully integrated and updated regularly ensuring consistent accuracy.

Text-to-Speech

Once natural processing occurs and the speech is fully transcribed, text-to-speech can complement the speech recognition process. 

Text-to-speech technology verbalises the text that has been processed by the natural language algorithm. 

Though this step may not be essential for your everyday admin tasks, it can help those with reduced vision or those who struggle to digest content on the computer screen.

Lexacom’s Speech Recognition Solution 

At Lexacom, we’ve harnessed the power of speech recognition technology with Lexacom Echo – a world-leading, AI-powered, professional-grade speech recognition system. 

Lexacom Echo doesn’t need any voice training. You simply place your cursor on the document where you would type, and speak. 

Lexacom Echo can process speech at a speed of 160 words per minute. Given that’s almost three times faster than typing, you’d struggle to find a reason not to want to use Lexacom Echo in your team. 

With its easy-to-use interface and precision, Lexacom Echo guarantees a high level of accuracy at all times. We secure this by ensuring our software is familiar with specific professional terminology.

Let Lexacom take care of your speech recognition needs

If you want to speak to one of our experts about demoing our speech recognition software, Lexacom Echo, or having a free product trial, simply fill out our contact form, and we will be in touch. 

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