In this episode of The Future Of, host Jeff Dance is joined by Dr. Yossi Kishet, Chief Scientist at aiOla, to discuss the transformative role of AI in speech recognition and synthesis. They explore recent advancements, the impact of cultural nuances in language, potential applications in healthcare, and ethical concerns surrounding AI speech technology.
They Cover:
00:00 - Intro
03:52 - The Evolution of AI Speech Recognition
12:20 - Recent Developments in AI Speech Technology
20:15 - Applications of Speech AI in Healthcare
28:13 - The Importance of Cultural Nuances in Speech
34:09 - Ethical Considerations: Deep Fakes and Regulation
42:20 - Future Directions: Needs for Better Algorithms and More Data
50:34 - Industry Leaders and Academic Institutions in Speech AI
55:53 - Final Thoughts: The Importance of a Moral Framework in AI
In this episode, Dr. Yossi shares insights on how AI speech technology is advancing rapidly, with applications in areas such as healthcare detection for conditions like asthma and schizophrenia. He emphasizes the need for more diverse datasets, particularly in spontaneous and conversational speech, to enhance transcription accuracy and understanding. Cultural nuances significantly impact speech processing, highlighting the challenges and responsibilities of developing AI technologies in a globally diverse landscape.
Feeding the Future of Speech Technology
The integration of AI in speech technology promises to enhance communication across various fields, including medicine, where accurate transcription of specialized terminology is essential. As the technology advances, better algorithms along with a vast amount of diverse spoken data will facilitate improvements.
Future Challenges and Ethical Considerations
One major concern discussed is the potential misuse of AI speech technologies, such as deep fakes. Dr. Yossi advocates for the establishment of a moral framework for AI, which includes ethical standards and accountability measures in deploying such technologies.