This article has drawn a distinction between two similar yet different technologies i.e. speech recognition and voice recognition technology.

Both speech recognition and speech recognition does sound like they both mean the same thing but they are two different technologies. 

Digital assistants like Amazon’s Alexa,Guest Posting Microsoft’s Cortana, and Apple’s Siri have made the world familiar with these terms. Of course, these assistants not only use speech recognition but voice recognition too. 

As per the Statista report, by 2024, the total number of digital voice assistants being used will reach 8.4 billion units, a speaker per pubblicità that is higher than the world’s population! 

But still, many people have doubts that need to be cleared, let us dig further into speech recognition and voice recognition.

Speech recognition
Speech recognition is interlinked with voice recognition, after recognizing a particular voice the speech recognition software identifies the speech. How does it work? By using various speech pattern algorithms and language models, speech recognition can transcribe or caption the words coming out from the speaker’s mouth. For the software to transcribe the speech and get high accuracy, the quality of audio should be good.

Requirements for high accuracy speech recognition:

One speaker only.
No background noise.
A high-quality microphone is preferable.
 

When do you need speech recognition?

For taking notes, the text can be transcribed by the speech recognition software that can help in taking notes.
To provide accessibility to the people who have disabilities, auto-generated subtitles, dictaphones, text relay for deaf and hard of hearing people. These services might help people with disabilities to engage with the media and more extended world.
 

Voice recognition
As we know, both speech and voice recognition are different but they are linked with each other.

Voice recognition software can recognize a specific voice with training. This training process entails the user going through a variety of phrases, and then the software uses these phrases to identify the speaker, the delivery of speaker, and tone of voice. This is a by-default process that most of the virtual assistants and voice-to-text applications use.