Speech-to-text data collection with Kafka, Airflow, and Spark, building a pipeline that can be deployed to process posting and receiving text and audio files from and into a data lake, apply transformation in a distributed manner, and load it into a warehouse in a suitable format to train a speech-to-text model.

This repository contains the the resources and test questions for a Digital Signal Processing course developed in 2020. A take-home practical test was designed as an alternative to a traditional in-class paper-based test. Students were familiarised with a database with 480 speech signals during the weeks before the test. During the test, student…