This course provides a complete introduction to the fundamentals of Automatic Speech Recognition (ASR). Starting with the basic principles of how computers process audio, you will learn about the standard ASR pipeline, including signal processing, feature extraction, acoustic modeling, and language modeling. The material is presented with clear explanations and practical steps, enabling you to understand how spoken language is converted into text. By the end, you will have the foundational knowledge required to use pre-existing ASR tools and to approach more complex topics in the field.
Prerequisites Basic Python helpful
Level:
ASR Fundamentals
Understand the core components of a modern speech recognition pipeline, from audio input to text output.
Audio Processing
Learn how to process, clean, and extract features from digital audio signals for machine learning applications.
Modeling Concepts
Grasp the roles of acoustic models and language models in interpreting spoken language.
Practical Application
Build a functional speech recognition application using popular Python libraries and pre-trained models.