/plushcap/analysis/speechmatics/ai-assistants-do-not-do-much-assisting-here-is-why

AI assistants don't do much assisting - here's why...

What's this blog post about?

The future of AI assistance lies in voice technology that can seamlessly understand and respond to users' needs. True AI assistants should be able to comprehend tone, mood, context, and previous interactions, similar to Samantha from the film "Her". Speechmatics is working towards this goal by focusing on real-time speech recognition with high accuracy, consistent language coverage, and equivalent performance in both file and real-time modes. The company's current engine offers industry-leading accuracy at 400-800ms latencies, making it uniquely positioned to offer the best real-time service in the industry today. However, challenges remain, such as universal language coverage, tone and cadence recognition, context understanding, and intuitive conversation management. To achieve truly helpful AI assistants, Speechmatics is exploring multi-scale representation learning and multi-modal representation learning, which could enable machines to better understand speech and convey meaning in their responses.

Company
Speechmatics

Date published
Feb. 12, 2024

Author(s)
Will Williams

Word count
1691

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.