As humans, we communicate quickly and easily with each other through speech. In comparison, the thought that every sentence and thought must be written down or typed in a casual conversation seems slow.

Computers have long been able to comprehend speech. But, they were not that great at it. Modern speech recognition systems can now understand speech very accurately and even speak back to you in a manner that you can understand. Therefore the development of voice recognition is a big industry.

What is a Speech Recognition System?

It is any system that incorporates audio and attempts to recognize and understand speech in it. Mobile looks like the platform these days will be where voice recognition systems work best.

The best way to develop voice recognition apps depends on your resources, and what you want to do. It’s not necessary to code everything and build speech recognition from scratch, because there are so many great tools and libraries available.

Some mobile apps that use speech recognition:

• Google Mobile Apps: Android, BlackBerry, and iOS
• Bing: Android and iOS
• Siri Assistant: for iOS
• ly: Android, BlackBerry, iOS
• Dragon Downloadable Apps: Android, BlackBerry, iOS
• Jibbigo Voice Translation: Android, iOS

How does Voice Recognition Work?

Numerous institutions, scientists, researchers, and businesses have invested in research into speech recognition. Consequently, a few different approaches work to varying degrees.

The main four methods are:

• Simple audio pattern matching
• More complex pattern and feature analysis
• Statistical analysis and modeling
• Artificial neural networks

Some of the factors that make it so difficult:

• The complexity of spoken language
• People talk fast
• No two people speak in the same way
• Background noise