Tracking the DNA of Sound with MATLAB
Ken Sutton, Yobe
Startup Yobe has created software that can accurately track a voice’s “DNA” in any auditory environment and separate a voice of interest from background noise, including other voices. Their approach uses MATLAB®, signal processing, and artificial intelligence to improve the overall sound quality and speech command accuracy for far-field applications and speaker identification platforms. An example use case is the ability to use a low-power “wake word” (i.e., Alexa, Siri, OK Google) to validate authorized users, retrieve their user profiles, and preload their device and application settings in noisy environments.
As part of the MathWorks Startup Program, Yobe has access to MATLAB at a startup-friendly price and engineering support from MathWorks experts. MATLAB enabled them to demo their concept at every stage of development, helping them share their progress and build excitement for their software long before it was commercial grade.
Up Next:
Related Videos:
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asia Pacific
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)