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pyclarity
Version 2 2024-01-10, 11:43
Version 1 2023-07-20, 08:31
software
posted on 2023-07-20, 08:31 authored by Jon BarkerJon Barker, Gerardo Roa Dabike, Zehai Tu, Neil ShephardNeil Shephardpyclarity is a software suite for machine learning challenges to enhance hearing-aid signal processing and to better predict how people perceive speech-in-noise (Clarity) and speech-in-music (Cadenza).
Files can be accessed via the Related Materials links below.
Funding
Challenges to Revolutionise Hearing Device Processing
Engineering and Physical Sciences Research Council
Find out more...Challenges To Revolutionise Hearing Device Processing
Engineering and Physical Sciences Research Council
Find out more...Challenges to Revolutionise Hearing Device Processing
Engineering and Physical Sciences Research Council
Find out more...Challenges to Revolutionise Hearing Device Processing
Engineering and Physical Sciences Research Council
Find out more...EnhanceMusic: Machine Learning Challenges to Revolutionise Music Listening for People with Hearing Loss
Engineering and Physical Sciences Research Council
Find out more...History
Ethics
- There is no personal data or any that requires ethical approval
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The data can be shared openly
Data description
- The file formats are open or commonly used
Methodology, headings and units
- There is a file including methodology, headings and units, such as a readme.txt
