Universal translator
Voice technology could expand to the point where there would be a universal translator that would cover hundreds of languages around the world, including local dialects.
This direction has huge potential, as it opens up new horizons for consumers.
There is already a Microsoft Translator with advanced AI capabilities and deep neural networks. it will soon offer real-time translation in five additional Indian languages, bringing the total to ten, allowing 90% of Indians to access information in their preferred languages.
The universal translator first described in Murray Leinster's novel First Contact may well become a reality.
A traditional problem for niche languages has been the lack of adequate datasets to train AI platforms. New methods, technologies, and psycholinguistics allow rare languages without as many formal linguistic turkey email list tools to be explored. For example, the Rochester Institute of Technology uses deep learning AI to create audio and text documentation for the Seneca language, a language spoken fluently by fewer than 50 people.
However, accurate identification of spoken words requires ongoing investment in representative datasets, models, and AI technologies. As research shows, Google’s speech recognition has an accuracy rate of 78% for Indian English and 53% for Scottish English. In addition, the voice search engine is 13% more accurate in identifying queries from men than women.
Artificial emotional intelligence
Voice technology is predicted to become a major tool in the field of artificial emotional intelligence and will enable a more detailed study of human emotions. As the voice environment becomes a natural way for people to interact, this will lead to improvements in measuring intent through voice recognition and voice analytics.