Support for Clarity Enhancement and Prediction Challenges (obsolete - see README)

claritychallenge, updated 🕥 2022-04-14 22:16:07

The Clarity Challenges

:bangbang: This repository has been replaced with a newer release of the Clarity code that supports all Clarity Challenges: CEC1, CPC1 and the current challenge CEC2. Please redirect to https://github.com/claritychallenge/clarity . :bangbang:

In this repository, you will find code to support all Clarity Challenges

Data for the challenges is available separately. See specific instructions in each challenge sub-directory, or visit the challenge website.

For further details of the Clarity Project visit, claritychallenge.org.

Issues

Question about get_hrirs.sh

opened on 2022-04-26 08:43:19 by Chengwei-Ouyang

When I run ./install.sh and download HRIR data, the wget request seems to get a html file instead of a tar.gz file. Could you give me some advices about how to get the HRIR data? Thank you! image image

Running baseline on MacOS

opened on 2022-04-23 22:11:17 by adwaykanhere

I'm trying to run the baseline scripts as suggested in your INSTALL.md file. When running the following code at step 1: cd install ./install.sh

I have changed the following lines of code to point to my local directory: ```

!/usr/bin/env bash

full_path=$(realpath $0)

CLARITY_ROOT=$(/Users/adwayk/Documents/GitHub/clarity_CC/clarity_CPC1/install) # up one level from install script echo $CLARITY_ROOT ``` I get an error on my system that states that: Screen Shot 2022-04-23 at 6 09 21 PM

Would really appreciate any help soon.

Releases

clarity_CC release v1.2 2021-11-26 16:04:04

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 2021-05-27 14:30:16

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 2021-03-09 16:49:12

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).

ClarityChallenge

Machine learning challenges for hearing aid processing. UKRI-funded project.

GitHub Repository Homepage

hearing-aids machine-learning speech-processing speech-intelligibility