Tech Showcase: Customizing Speech Recognition for Higher Accuracy Transcriptions
- Mike Seltzer | Microsoft
Two of the most important components of speech recognition systems are the acoustic model and the language model. Those models behind Microsoft’s speech recognition engine have been optimized for certain usage scenarios, such as interacting with Cortana on a smart phone, searching the web by voice, or sending text messages to a friend. But if a user has specific needs, such as recognizing domain-specific vocabulary or the ability to understand accents, then the acoustic and language models need to be customized. This demo shows the benefits of customizing acoustic and language models to improve the accuracy of speech recognition for lectures. Using the Custom Speech Service (Cognitive Service) technics, the demo shows how the technology can tune speech recognition for specific topic and lecturers.
-
-
Mike Seltzer
Principal Researcher
-
-
Series: Microsoft Research Faculty Summit
-
-
-
Cars, Computing and the Future of Work: Specific topics of mutual interest
- Linda Boyle,
- Ed Doran,
- John Lee
-
-
-
Crowd, Cloud and the Future of Work: Updates from human AI computation
- Pietro Michelucci,
- Lucy Fortson,
- Franco Pestilli
-
-
Cars, Computing and the Future of Work: A UW & MSR Workshop: Welcome and Overview of Projects
- Linda Boyle,
- Ed Doran,
- Eric Horvitz
-
-
Crowd, Cloud and the Future of Work: Welcome and Updates
- Besmira Nushi,
- Ece Kamar,
- Kori Inkpen
-
Empowering People to Achieve More: How Useful a Concept is Productivity?
- Brendan Murphy,
- Yvonne Rogers,
- Steve Whittaker
-
Keynote - The Future of Work And the Power of Data
- Johannes Gehrke
-
Productivity in Software Development
- Neel Sundaresan,
- Margaret-Anne Storey,
- Prem Kumar Devanbu
-
Artificial Emotional Intelligence, Social Systems, and the Future of Collaboration
- Mary Czerwinski,
- Mark Ackerman,
- Gloria Mark
-
Workers of the World, Connect! Tech Innovations and Organizational Change for the Future of Work(ers)
- Mary Gray,
- Jamie Woodcock,
- Louise Hickman
-
Increasing AI Programmer Productivity
- Markus Weimer,
- Sarah Bird,
- Ce Zhang
-
Human-AI Collaboration for Decision-Making
- Besmira Nushi,
- Ayanna Howard,
- Jon Kleinberg
-
Future of Spreadsheeting
- Ben Zorn,
- Felienne Hermans,
- Daniel Barowy
-
Program Synthesis meets Notebooks
- Sumit Gulwani
-
Accessible Virtual Reality
- Eyal Ofek
-
Calendar.help: A Virtual Meeting Scheduling Assistant
- Pamela Bhattacharya
-
Visual Studio IntelliCode
- Mark Wilson-Thomas
-
Microsoft Teams: Collaborate with Any Researcher Anywhere
- Jethro Seghers
-
Project Alava: Programming Webs of Microcontrollers
- James Devine,
- Teddy Seyed
-
AI in PowerPoint
- Kostas Seleskerov