[Proposal]: Speech to Text WTH
devanshithakar12 opened this issue · 1 comments
Topic
The Speech to Text WTH hack will help hackers understand how to use Azure's Cognitive Speech services. The hack will take call center data and navigate through challenges to learn the tools to transcribe the audio files, improve the accuracy of these transcriptions, determine the intent of the calls, assess sentiment and PII redaction. Finally, we will be able to run the model in their own environment.
Abstract/Learning Objectives
- Data Cleaning + Preprocess Ground Truth Files
- Train a standard model
- Train a custom acoustic model
- Test and evaluate the accuracy of the models
- Deploy and containerize the models
Delivery Date
3/10/23
Authors
Lauren Tran , GitHub: laurentran
Jason Virtue, GitHub: DataSciNAll
Israel Ekpo, GitHub: izzymsft
Ellie Nosrat, GitHub: EllieNosrat
Other
Natural Language Processing is a common hero offering by Microsoft. Documentation is limited on how to setup and process audio data (unstructured) and this WTH will help developer readiness. This will be the first WTH on NLP.
Code of Conduct
- I agree to follow this project's Code of Conduct
WTH V-Team has met with @devanshithakar12 and the authors are working on this hack.