Clarity Challenge toolkit - software for building Clarity Challenge systems
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Updated
Feb 24, 2025 - Python
Clarity Challenge toolkit - software for building Clarity Challenge systems
Instructions for building an almost consumer hardware based prototype of a hearing aid
A speech-to-text framework and bot for Discord. Take control of your Discord server using speech and voice commands. Can also be useful for hearing impaired and deaf people.
Support for Clarity Enhancement and Prediction Challenges (obsolete - see README)
Tips for best practices with filterbanks
A smartphone applications with Convolutional Neural Network Voice Activity Detector, Adaptive Noise Reduction and Dynamic Audio Range Compression
DNN-based hearing aid for real-time sound processing
Streaming Speech-to-Text Web Server. Share transcript to many in realtime.
The build of frequency lowering techniques used in hearing aid
Python UI application that transcribes speech output from your soundcard. Helpful for hearing impaired people or to create the minutes of meeting. Can be used for dictations, too.
Speech Enhancement for Hearing Aid
jack_playrec provides an interface for synchronous recording/playback via the JACK Audio Connection Kit.
The open Master Hearing Aid (openMHA). To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001813
Wakayama-University Hearing impairment Simulator
A collection of scripts which check hearing aids fitting software directly from their own update servers.
Multimedia sound processing for hearing impaired listeners
The effective compression ratio (ECR) is the ratio of the dynamic range at the input and the output of a WDRC system for hearing aids.
Gammachirp Envelope Similarity Index (GESI) for predicting speech intelligibility of hearing-impaired persons
Analytical derivation of the stochastic output of coincidence detection (CD) neurons
Exemplary simulation toolchain combining FADE, TASCAR, and openMHA for aided speech recognition performance predictions in complex auditory scenes
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