speech-database
There are 0 repository under speech-database topic.
Azariagmt / Speech-to-text-data_collection
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.
Language:Python 1jesinj / Take-home-test-for-Digital-Signal-Processing-course
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, students were given the freedom to choose any five speech signals from the database. This free-choice encourages learner autonomy by requiring students to take the first steps of responsibility for their learning. A beneficial consequence is that this free-choice increases the chance that every student gets a different subset of speech signals to work with. This effectively eliminates the opportunity for plagiarism, as two or more students working on the same subset will only raise immediate suspicion of potential plagiarism. Such an approach avoids the necessity of invigilation, which is beneficial due to restrictions imposed by Covid-19. The take-home test gives the educator a chance to evaluate practical skills taught in the course (like the implementation of signal processing), that would not normally be possible in an in-class paper-based test. The questions given were aimed towards higher-order thinking, focussing more on applying the theory learned in class. To assist other educators in producing similar assessments for their courses, the speech signal database has been open-sourced along with the resources needed for this test. This test is designed for a take-home test scenario.
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