TL DR: Here’s a table summarizing our findings. Ease of use: We examined the ease of integrating each of the APIs for recognizing the human voice.Įventually, we came up with the following list of the top 10 best speech recognition APIs.Price: We looked at the price of incorporating each of the APIs into applications.The number of languages supported: We examined the number of languages that each of the APIs supports.API features: We assessed the various outstanding features of the voice recognition APIs.We reviewed several Voice Recognition APIs based on the following four main criteria: Modern speech recognition uses deep neural network algorithms and can understand more than hundred languages. Speech Recognition (aka Automatic Speech Recognition, computer speech recognition, & speech-to-text) is a capability which enables a machine or computer program to convert spoken language into text. As a result, developers may enhance their apps’ capabilities and create intelligent systems that can recognize speech data. To allow developers to access their features and integrate them into work environments, most speech recognition applications have exposed their APIs ( Application Programming Interfaces).
Tech companies are using speech recognition APIs not only to make it easier for humans to communicate with computers but also to enable devices and programs to do more in less time. Amazon’s Alexa, Apple’s Siri, and Google Assistant are some examples of consumer products in the wild leveraging the power of speech recognition APIs. has the potential to change lives, businesses, and how we interact with computers. This groundbreaking technology has emerged from years of research and development in the fields of computer science and computational linguistics. The technology of speech recognition is increasingly being adopted (via a speech recognition API) for allowing computing systems to recognize and respond to human speech.