HK Audiology Group
The University of Hong Kong

HK Audiology Group

We build AI-enabled hearing-care research and digital assessment tools for speech-in-noise performance, everyday functioning, and clinical translation.

PublicationsAssessment tools
28
Scholar-indexed outputs
3
Assessment pathways
9
DIN language tracks

Research platform

AI-enabled hearing care meets digital assessment

Building
AI care
Decision support

Human-centered AI for screening, triage, counseling, and hearing-care workflows.

Assessment
Digital tools

Browser-based measures for speech-in-noise performance and patient-reported outcomes.

Validation
Real-world evidence

Cross-cultural adaptation, psychometrics, and implementation in everyday care contexts.

Assessment tools

A growing tool registry

iDIN and HFEQ-Mandarin are early examples of a broader assessment platform.

3
iDIN
Speech-in-noise assessment
Live
Digit Optimization
Stimulus optimization
Live
HFEQ-Mandarin
Everyday functioning PROM
Validation

Everyday functioning

HFEQ-Mandarin extends the platform beyond auditory performance into ICF-based daily functioning, communication, participation, personal resources, support, and health.

Assessment toolsEvidence base

Mission

Research that can move into practice.

Our work sits between auditory science, digital health, AI, and service design. The goal is practical: make hearing assessment easier to access, easier to interpret, and more useful for people and clinicians.

01

AI-enabled hearing care

Research on responsible AI systems for hearing-care education, assessment, counseling, and clinical decision support.

02

Digital assessment tools

A growing platform of browser-based assessment tools, including speech-in-noise tests and patient-reported outcomes.

03

Everyday functioning

ICF-informed measures that connect hearing ability with communication, participation, support, and daily-life impact.

Platform pathway

From research evidence to usable assessment tools.

The site now works as a living front door for the group: publications provide the evidence base, tools provide the measurement layer, and news keeps the activity record current.

Evidence

Scholar-linked research record

Publications anchor the platform in AI, speech-in-noise testing, everyday functioning, and hearing-care systems.

Open
Measure

Browser-based assessment tools

iDIN, digit optimization, and HFEQ-Mandarin form the current assessment layer.

Open
Update

News and activity archive

Recent publications, conferences, tool releases, and group updates stay visible on the homepage and preserved in News.

Open
Translate

AI-enabled care workflows

Future work can connect assessment outputs with AI-supported review, explanation, and clinical translation.

Open

Latest news

Recent activity from the platform.

Home keeps the most recent 6-month window compact. The full archive is kept on the News page.

News archive

Recent publications

  1. Publication

    Democratizing Audiology Education: How Generative Artificial Intelligence Can Bridge the Global Resource Gap

    A Hearing Journal article by Changgeng Mo and Shangqiguo Wang on how generative AI may broaden access to audiology education.

    Open
  2. Publication

    Perspectives of audiologists in China on artificial intelligence in clinical practice and professional identity

    A qualitative study on how audiologists in China view AI in clinical practice, professional identity, and future hearing-care work.

    Open
  3. Publication

    Effects of second language exposure on the integrated digits-in-noise test in Cantonese non-native speakers

    An International Journal of Audiology article examining second-language exposure effects on iDIN performance.

    Open
  4. Publication

    Now Is the Era When Everyone Can Easily Measure and Monitor Hearing

    A Hearing Journal article framing accessible hearing measurement and monitoring as a practical opportunity for hearing care.

    Open
  5. Publication

    Evaluation of AI chatbots in hearing health: model timeliness and prompt design matter

    A publication highlighting practical considerations for using AI chatbots in hearing-health information and support.

    Open
  6. Publication

    Reference-aware SFM layers for intrusive intelligibility prediction

    An ICASSP 2026 contribution on speech foundation model layers for intelligibility prediction.

    Open
  7. Publication

    Leveraging multiple speech enhancers for non-intrusive intelligibility prediction for hearing-impaired listeners

    An ICASSP 2026 contribution on non-intrusive intelligibility prediction using multiple speech enhancers.

    Open