Running multilingual voice queries on financial documents

#speechrecognition #finance #machinetranslation #machinelearning

This video is a technical deep dive on the demo presented in https://youtu.be/I_hqzdqQ5vE, where I run multilingual voice queries on financial documents, using two state of the art Transformer models for speech to text and semantic search in less than 100 lines of Python:

— Dataset preparation, based on SEC filings downloaded with an AWS SDK. See https://youtu.be/SU1L6f0N6iw for details.

— Experimentation in a Jupyter notebook, available at https://gitlab.com/juliensimon/huggingface-demos/-/tree/main/voice-queries

— Implementation of a Hugging Face Spaces application, available at https://huggingface.co/spaces/juliensimon/voice-queries

Hands-on debugging session: instrument, monitor, and fix

Join Lazar for a hands-on session where you’ll build it, break it, debug it, and fix it. You’ll set up Sentry, track errors, use Session Replay and Tracing, and leverage some good ol’ AI to find and fix issues fast.

RSVP here →