Speech Recognition

International Marketing Group
IMG
  • 7th May, 2021
Speech Recognition

Imagine a world where you could say any thought and have it immediately transcribed. Or a video conference so seamless, that the human on the other side couldn’t tell if you were real person or just chatting with a robot. This is an era of voice interfaces. Chances are high you interact with one several times a day—perhaps to set your morning alarm, call an Uber, or interact with family members via messaging services. Even Mark Zuckerberg and Amazon’s Jeff Bezos have been experimenting with using their own voice for digital interactions; Facebook users can now dictate messages through Messenger instead of typing. (Machine learning algorithms are also being increasingly deployed in robots.)

What is it?

Speech recognition is a computer science and computational linguistics interdisciplinary subfield that advances methodologies and technologies that enable computers to recognize and translate spoken language into text. Automatic speech recognition (ASR), electronic speech recognition, and speech to text are some of the other names for it (STT). It combines computer science skills and analysis.

The A.I flavour of Speech Recognition

But speech recognition technology is still much less sophisticated than it needs to be to fully automate digital assistants—Amazon’s Alexa keeps mishearing ”Smith” as “the smiley one” and Skype’s bot struggles to differentiate accents. While modern voice interface may be limited, the eventual goal is incredibly powerful: AI could potentially be used to respond to any verbal request made in natural language, allowing you to voice stream any information or carry out instructions without having to type. Imagine a world where patients could give doctors a running account of their symptoms while they walk through the hospital, or where you could ask your car what you need to do in order to get to work instead of having to find your phone or laptop at the end of your drive. It is not a leap to suggest that this technology could change the way we interact with services and machines in fundamental ways.

Applications of Speech Recognition

Voice-activated home assistants such as Google Home and Amazon Echo can control your thermostat, answer questions, and schedule meetings. They’re always available. They’re intuitive to set up. They don’t take up much space, and they’re generally useful. The catch? Pretty much every major tech company is developing its own assistant. Plus, it’s not clear to what extent these companies will share your data with one another or whom they might sell it to. And it is unlikely that the same standards of choice, quality, ease of use and privacy will apply to apps and services provided by third parties in the near future.

Vehicle-based services

The speech recognition device is typically activated by a manual control input, such as a finger control on the steering wheel, and this is signaled to the driver by an audio warning. The device has a "listening window" after the audio prompt within which it will recognize a voice input for acknowledgement.

Domains such as telephony and others

In the world of telephony, ASR is now popular, and it's becoming more prevalent in the field of computer games and simulation. ASR is now mostly used in contact centers by combining it with IVR applications in telephony systems. About the fact that ASR has a high degree of integration with word processing in general personal computing, ASR has a low level of integration with paper output. Speech recognition is now possible in smartphones thanks to improvements in mobile processing speeds. The majority of the time, speech is used as part of a user interface to create predefined or personalized speech commands.

Speech recognition has a long tradition in terms of science, with many cycles of global advancements.

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