This course, Learn Speech Recognition and Spoken Language Processing in Python, focuses on developing skills in speech recognition and spoken language processing using Python. It recognizes that speech is our primary mode of communication, even in the digital age. Throughout the course, you will learn how to load, transform, and transcribe audio files using Python. Starting with an introduction to raw audio in Python, you will then explore popular libraries and work through a practical business use case. The course specifically covers the use of Python libraries such as SpeechRecognition and PyDub for transcribing audio files. SpeechRecognition provides an easy way to integrate with speech-to-text APIs, while PyDub allows you to programmatically modify audio file attributes to prepare them for transcription. Each library is thoroughly explained in dedicated chapters, allowing you to apply your knowledge and solidify your understanding. Additionally, the course includes an in-course project that allows you to practice speech transcription. You will have the opportunity to apply all the concepts and techniques learned throughout the course by building a speech processing proof of concept for a fictional technology company. This project involves transcribing phone call audio to text and performing sentiment analysis to evaluate customer support phone calls. By the end of this course, you will have gained both theoretical knowledge and practical experience in speech recognition and spoken language processing in Python. This will enable you to confidently apply your learning in your professional endeavors or personal projects.