large dataset of audio recordings. By analyzing the patterns in the recordings, the neural network is able to create a unique voice that is tailored to the user’s preferences.
Text-to-speech technology can also be used to create animations and videos. By using a text-to-speech engine, it is possible to generate a range of different voices that can be used to create a more engaging experience for viewers.
Text-to-speech technology also has a range of practical applications. It can be used to provide access to information for people who are visually impaired, or who have difficulty reading. It can also be used to provide access to information in a variety of languages, allowing users to access information that would otherwise be unavailable to them.
Finally, text-to-speech technology can be used to create virtual assistants. By using natural language processing and voice recognition, it is possible to create virtual assistants that can understand and respond to user queries.