Speech Recognition Vs Voice Recognition

The terms Speech Recognition (SR) and Voice Recognition (VR) have been used interchangeably by the general public to describe similar technologies. However, there are some subtle differences between these two technologies. In this article, we will see some differences between these two technologies.

The main difference between Speech Recognition and Voice Recognition is that Speech Recognition converts a spoken command into a corresponding textual string, whereas Voice Recognition converts a spoken word into its textual equivalent.

In this article we will see the following aspects of Speech Recognition and Voice Recognition:

• What is Speech Recognition?
• High Accuracy Speech Recognition Requirements
• When do you need Speech Recognition?
• What is Voice Recognition?
• Limitation Of Voice Recognition
• When do you need Voice Recognition?
• Conclusion

What is Speech Recognition?

Speech recognition is a technology that allows people to input and control a computer using only their voice. It can be used as an alternative to typing, or in combination with keyboard input, for faster, easier, and less error-prone computer use.

Speech recognition software allows your computer to interpret the words you say into written text. It also translates keyboard commands into speech. With a headset and an Internet connection, you can use your voice for everything from word processing to games to control.

High Accuracy Speech Recognition Requirements:

High Accuracy Speech Recognition is a key element for today's automotive environment. To achieve high accuracy in the recognition of speech in a very noisy condition, there are some requirements.

• There should be only one speaker.
• No background noise.
• Use a high-quality microphone only.

When do you need to use Speech Recognition?

Use Speech Recognition:

• Taking notes with a speech recognition program can be very helpful, and it's easier to understand and manage your notes.
• To provide accessibility to people who have disabilities, auto-generated subtitles, dictaphones, and text relay for deaf and hard of hearing people. These services might help people with disabilities engage with the media and the extended world.

What is Voice Recognition?

Voice recognition is a technology capable of understanding human voice commands and converting them into computer language. It offers many benefits, such as hands-free operation, verbally controlled automation control, and text input.

Voice recognition is the use of a microphone to capture and interpret sounds that are then processed through computer software to translate them into action - usually, as part of a system that enhances, simplifies, or otherwise improves everyday tasks.

Limitations Of Voice Recognition:

• Limited functionality to the task that was asked to execute.
• If not clearly recognized, the virtual assistant will ask the user to repeat sentences.
• Voice Recognition gets a different conclusion if some words get skipped.
• If the delivery of a voice sample changes, the accuracy of voice recognition will decrease.

When do you need to use Voice Recognition?

• Use Voice Recognition for user verification, it increases the security.
• The ability to accurately communicate with technology using voice reduces the time needed for error scans and instead allows for more accurate workloads.

Barriers In These Technologies:

• Accuracy is the leading barrier to both of these technologies.
• Some people found that different accents or dialects were a barrier to adoption.

Conclusion:

The potential for voice and recognition technologies is quickly being realized as they spread from their core tech-based users to other industries. As technology finds its way into practically every industry, voice recognition and speech-to-text software have become widespread. As voice recognition and speech recognition technologies improve, more and more non-technically-related industries are using them to help with everyday tasks.