Project: Integrating DeepSpeech Voice Dictation for Radiology Reporting

gsoc2019-project
toolkit
radiology
gsoc2019

(Judy Gichoya) #1

This is a project carried over from last year that was not completed by the student. See this thread : Project: Integrating Voice Dictation for Radiology Reporting

Summary : There is a high burden of data entry tasks when using any medical record. This takes away from patient care as doctors are forced to spend a lot of time entering all the required fields. Voice transcribing/ dictation solutions exist , but are expensive and some do not work for medical jargon

This project will be to integrate into the #toolkit project a trained voice model based on the DeepSpeech project of Mozilla - referenced here

  1. https://github.com/mozilla/DeepSpeech
  2. https://blog.mozilla.org/blog/2017/11/29/announcing-the-initial-release-of-mozillas-open-source-speech-recognition-model-and-voice-dataset/
  3. https://developer.mozilla.org/en-US/docs/Web/API/Web_Speech_API/Using_the_Web_Speech_API#Speech_recognition
  4. https://voice.mozilla.org/en

Mentors @judywawira @sunbiz @namratanehete

Objectives

  • Integrate DeepSpeech into the toolkit application - allowing for uploading of updated training models
  • Train a medical language model for DeepSpeech specific to radiology by creating a simple voice donation tool and training the model
  • Integrating voice dictation for radiology reporting

Technical Requirements Java, MySQL, JavaScript, HTML/CSS, MachineLearning, deep learning


(Robby O'Connor) #2

This is very similar to this:


Project: Integrating Voice Dictation for Radiology Reporting
(Judy Gichoya) #3

This is the one I want to keep and remove the other one from this list


(Robby O'Connor) #4

Removed it from the list.