Audiometry is an application framework written in C# and based on WPF and .NET that enables accurate digital recording, search, analysis, graphical visualization, and reproduction of human audio-vestibular impairment test data to assist in hearing loss or disability diagnosis.
SiH1403 App Based Audiometer
Audiometer is a Python-based application for creating audiograms and performing various audiometric tests. It includes familiarisation functions, standardized audiometric procedures and calibration.
Android App created as a eggineers' project for pure tone audiometry with simple results database. Updated version with fingerprint reading as a project for biometry.
🎧 Browser-based pure-tone audiometry self-diagnosis tool using Web Audio API and Hughson-Westlake method | 基于浏览器的纯音测听自我诊断工具
SwiftUI audiometry app for iPhone and iPad
Free clinical-grade PTA & AMA/AAO hearing loss calculator with PDF report generation. 100% client-side, privacy-by-design, for ENTs and audiologists.
A desktop application for scoring word lists using whole word and phonemic scoring. Features 80% and 95% critical difference tables for validating hearing aid fittings and word recognition performance. Tables generated by Pairwise Monte Carlo simulation using methodology modified from Carney & Schlauch (2007).
An app by which you can test your hearing capacity & perform audiometry test. Now check your ears through your smartphone, without going to the clinic
Fitting optimizations on "A Computationally Efficient Nonuniform Filter Banks for Hearing Aids" by Lian et al. (https://doi.org/10.1109/TCSI.2005.857871)
Python notebooks I used for active learning / test stuff out while learning statistical signal processing
Standards-compliant (ASHA/BSA/ISO 8253-1) browser pure-tone threshold audiometer featuring adaptive Hughson-Westlake testing, calibration-aware uncertainty modeling, and NLP-assisted qualitative screening.
Test auditif indicatif (non medical) pour Android — 100% local, sans compte ni publicite. Kotlin/Compose.
Data-driven audiometric phenotyping using HDBSCAN on NHANES data. 26,583 audiograms, 25 scripts, 5 languages.
Statistical methods and R/SAS code for hearing research, including audiometric data analysis, assessment-tool reliability and validity, and detection of outlier evaluators.
A binaural + L + R hearing test
Browser-based adult pure-tone hearing screener from the UW Auditory Human Systems Lab (AHSLAB). Bayesian PCA + psychometric fit (NHANES-trained) for robustness to attentional lapses, optional coupler/perceptual level calibration, headphone/earbud RETSPLs, and ambient noise monitoring.
The Self-Assessment Audiometer is a portable, cost-effective hearing test device that analyzes hearing levels using pure-tone audiometry, enabling early detection of hearing loss without requiring an audiologist, via smartphone/PC integration.
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