Today the world is emerging rapidly with technology and smart devices like mobile phones, laptops have become a necessity for us nowadays. The latest trend growing exponentially is voice driven applications that is commonly used by youngsters and also in business avenues.
The concept developed while designing these applications is speech and audio processing. Speech recognition was already established in apps like WhatsApp where a voice recording is sent in form of a message. Another example is Google assistant, one of the discoveries that occurred in 2018 year where Google assistant will make an appointment and converse just like a human being. Such science fictions were only imagined few years ago and are now inculcated in our lives and the reason behind this is Artificial Intelligence and Deep neural networks. Start-ups likeSpiceTech Indiaare developing impressive products of such kinds.
Speech recognition is applied to voice driven apps to build maximum percentage of accuracy of words and speed of speech to understand the commands. For an instance , there are two different sound waves where one says "Hello" in low pitch voice whereas another sound wave saying "Heeelllloooo" in high pitch voice. In both the cases, the sound files must be recognized by a simple word "Hello". To detect these sound waves, they are sampled in form of bits and sound of each alphabet can be calculated in time instance per seconds and feed them to neural network for extracting data bits which can be analyzed and converted in form of text. So this was an brief idea for concept of speech recognition but of course there will be lot more complexity when we dive deep into the concepts while recognizing speech considering background noise, low or high rank voice and many more complex parameters. Today we have examples of voice driven apps implemented like Alexa by Google, Siri by Apple and Cortana by Microsoft, whichever technology is used they are definitely make a huge impact on future to make our lives easy and hassle-free.