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The Ultimate Guide to Automatic Speech Recognition Technology

Guide to Automatic Speech Recognition Technology

Imagine sitting in a meeting and talking to your computer without typing a single word. This isn’t just a figment of our imagination anymore. Automated Speech Recognition (ASR) is the tech that’s enabling this transition. Essentially, ASR is all about using computers to transform the spoken word into the written one.


Enter the Web 3.0: we are in the midst of a revolution in information gathering and communication, and we’re still in the very early stages.


We now live in an environment where we can talk to our devices and those devices can understand us. This goes beyond simple voice control; now we can use speech as a means of communication and interaction. We can use speech as a way of accessing and retrieving information, and we can use speech as a means of controlling and interacting with devices and applications. Automatic Speech recognition (ASR) is one of the enabling technologies that is driving this transformation.


What is ASR?

Automatic speech recognition (ASR) is a computer technology that enables machines to listen to human speech and to reproduce the words in the speech. ASR systems are also known as speech-to-text systems or computer speech recognition systems. ASR is part of the artificial intelligence system that is rapidly changing the way humans interact with machines. How are these systems changing the way we communicate with machines? These systems are making it possible for humans to communicate with machines using our voice, which is something that humans are very good at.


Automatic Speech Recognition (ASR) is a technology that converts speech into text. It’s a bit like dictation software that comes with a computer but in a much more sophisticated way. It’s a sophisticated technology that often gets confused with Natural Language Processing (NLP). While it’s not exactly a good idea to equate the two, it’s important to understand the difference between them, if only to better understand how ASR works.


The ultimate goal of ASR is to create a system that transcribes the words a person speaks in a noisy environment and with a low-quality microphone so that the words can be used in text-to-speech applications and for other applications such as voice search and speech translation.


How are we implementing ASR in day-to-day life?


ASR has been in every type and field of the industry to ease different processes. Let’s get into this scenario.


When you go for watching a movie, there are subtitles at the bottom of the video. ASR technology helps media industries to get the captions ahead of time to view subtitles. This technology lets you stream captions and subtitles in real-time so that it cannot miss the voice.

People used to read books by buying books and spending time on them. But nowadays, due to technological advancements, there is an upcoming term as audio books. This technology also helps in creating transcripts of the standard lecture and you can also use it in virtual meetings.


Call centers of various companies have been using this technology to get better customer engagement and satisfaction. Call centers are equipped with technology that is associated with automated chat bots and monitor customer support and their interactions.


ASR also has been advanced to so much level that is solving the barriers of translation. Let’s say you are traveling to a different country and you are not that much aware of the native language. You have access to the apps that use ASR to become the magic of universal translator and making accessible for people to communicate with cross-border people.


Last but not the least, IoT (Internet of Things). This is one of the most fields where ASR is used. The Industrial Internet of Things (IoT) devices optimize manufacturing processes and deliver improved automation, for example. IoT users are increasingly using voice as the best way to interact with the IoT. With a simple command like "turn on the lights" or "raise the thermostat," we can control our environment in real-time without ever having to look at a screen or press a button.  


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