Releases: claritychallenge/clarity_CC
clarity_CC release v1.2
Software to support the Clarity Enhancement and Prediction Challenges.
Python tools are provided for
• Mixing scenes to generate the training and development data
• Running the baseline hearing aid processing using the Oldenburg/Hoertech open Master Hearing Aid (openMHA) software platform
• Running signals through a python implementation of the Moore, Stone, Baer and Glasberg (MSBG) hearing loss model
• Estimating intelligibility using the Modified Binaural Short-Time Objective Intelligibility measure (MBSTOI).
This version includes
• The first release of the code for supporting the recently opened 1st Clarity Prediction Challenge (CPC1)
• Code for supporting the (now closed) 1st Clarity Enhancement Challenge (CEC1)
clarity_CEC1 release v1.1
Software to support the Clarity Enhancement Challenge.
Python tools are provided for
• Mixing scenes to generate the training and development data
• Running the baseline hearing aid processing using the Oldenburg/Hoertech open Master Hearing Aid (openMHA) software platform
• Running signals through a python implementation of the Moore, Stone, Baer and Glasberg (MSBG) hearing loss model
• Estimating intelligibility using the Modified Binaural Short-Time Objective Intelligibility measure (MBSTOI).
This version includes
• Fixes to construction of anechoic reference signals
• Fixes to minor errors in baseline enhancement system
• Addition of soft-clipper to baseline hearing aid configuration.
clarity_CEC1
Software to support the Clarity Enhancement Challenge.
Python tools are provided for
- Mixing scenes to generate the training and development data
- Running the baseline hearing aid processing using the Oldenburg/Hortech open Master Hearing Aid (openMHA) software platform.
- Running signals through a python implementation of the Moore, Stone, Baer and Glasberg (MSBG) hearing loss model
- Estimating intelligibility using the Modified Binaural Short-Time Objective Intelligibility measure (MBSTOI).