Data Science & Research Support
Projects

NeAP pitch discrimination App Android Studio screenshot

Acoustic Measurement App

  • PC based measurment not being utilised in the clinic
  • Measurment algorithms and technique reproduced in a mobile app
  • Patients/clients can run the app in the waiting room, so data collection is activated in this setting
Android Studio Gradle Mobile App
High pass filter visualization

Audio Processing Workflow Improvements

  • Audio waveforms required to be parsed, measured and edited
  • Built GUI tool for timestamping & annotation
  • Workflow speed and accuracy greatly imporoved
Python GUI
Process diagram showing secure local speech transcription and speaker identification within an offline environment. Made with Google Gemini.

Locally executed Automatic Speech Transcription and Speaker Identification

  • The dataset comprised videos of patient interviews
  • These were sensitive and online transcription was to be avoided
  • I built a local-machine solution using OpenAI's Whisper model, incorporating Automatic Speech Recognition (ASR), timestamping and diarisation by identifying multiple speakers
Python GitHub

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