Comparative Model for Voice Control Systems: Embedded AI and Cloud APIs Services

This chapter discusses the growing importance of voice control systems in today’s digital world. They are becoming an integral part of our daily lives. They are used in a variety of areas, including smartphones, smart devices, industry, and transportation, changing the way we interact with our environment. In this context, special attention is paid to exploring different strategies for deploying such systems in terms of business requirements, scalability, flexibility, reliability and cost. For this purpose, we developed a comparative model to estimate the cost and performance of existing voice control systems. Two main voice control paradigms are compared in detail: embedded artificial intelligence (AI) and cloud services. The comparison has shown that during the initial months of development, the cost of a system with embedded AI per user is higher due to the need for additional resources. However, over time, these costs become similar to those incurred when using cloud services. The study also included an experimental evaluation of the accuracy and processing speed of the embedded artificial intelligence model and the cloud-based Speech-to-Text API. The choice between these approaches depends on the specific requirements and limitations of the application. If speed is crucial, embedded artificial intelligence may be the better option, but if precision and flexibility are priorities, then the cloud-based Speech-to-Text API with a custom algorithm can offer more advantages.