In the past decade, there has been a shift from text-based interfaces to voice-based interfaces for many consumer applications. This is driven by the adoption of virtual assistants such as Amazon Alexa, Apple Siri, and Google Assistant. The use of voice as an input modality has many advantages over traditional text input, such as being more natural and efficient. However, one of the challenges with voice-based interfaces is that they require speech recognition, which is a hard problem to solve. Another challenge is that many people have different accents and speak different languages, which makes it difficult for a computer to understand them. To address these challenges, there has been a lot of research on computer generated voice services. In this article, we will review the state of the art in this area. We will start by discussing the different types of computer generated voice services. Then, we will review the challenges in speech recognition and synthesis. Finally, we will discuss the future direction of this research.
A computer generated voice service is a system that can create artificial speech. This can be used to create text-to-speech systems, which can convert text into speech. This can be used for a variety of purposes, such as creating audio books, or providing speech synthesis for people who are unable to speak.
As more people become comfortable with interacting with computer-generated voice services, businesses are starting to take notice. This technology can be used to automate customer service interactions, saving businesses time and money. In addition, computer-generated voice services can be used to provide information to customers 24 hours a day, 7 days a week. This technology is revolutionizing the way businesses interact with their customers and is sure to have a major impact on the customer service industry in the years to come.