Voice Technology – Status Quo + Trends
Beyond end-to-end in neural automated speech recognition
Automated Speech Recognition (ASR) enables us to operate increasingly complex devices with ever-increasing effort. While we once had to type commands into a computer to trigger a specific action, today all we need to do is shout to a voice assistant. The intelligent speakers are learning to understand words and commands better and better, further simplifying operation for users. The most important areas of application for voice technology in companies are internal processes, customer support, and marketing – and the number of applications is growing rapidly.
In this WakeUp!, LumenVox experts Joachim Hofer (Lead R&D Scientist) and Heiner Kruessmann (VP Sales + Marketing) share their knowledge and experiences with us about
- the status and trends of AI-based core technologies
- Automated Speech Recognition (ASR),
- Natural Language Processing (NLP),
- Dialogue Manager (DM),
- Text-to-Speech (TTS)
- driving new technologies such as powerful, modern processors, statistical models of artificial intelligence with large amounts of structured data for advanced analytics, etc.
- significantly greater benefit of voice assistance systems through voice output in more and more languages,
- Application areas today, tomorrow
- B2B, Voice Marketing
- etc.
- the role of the three big players: Google, Amazon and Apple, their licensing policies and their consequences and
- about voice tech innovations.
