Automatic Speech Recognition

Automatic Speech Recognition (ASR) is a technology that converts spoken language into written text using computational algorithms. It involves processing audio signals to identify phonemes, words, and sentences, enabling machines to understand human speech. ASR is widely used in applications like voice assistants, transcription services, and accessibility tools.

Also known as: ASR, Speech-to-Text, Voice Recognition, Speech Recognition, STT

Why learn Automatic Speech Recognition?

Developers should learn ASR to build voice-enabled applications, such as virtual assistants (e.g., Siri, Alexa), real-time transcription for meetings or media, and accessibility features for users with disabilities. It's essential in fields like human-computer interaction, natural language processing, and IoT devices where hands-free operation is required.

Learning Resources

• docs: CMU Sphinx Documentation
• book: Speech and Language Processing Book
• tutorial: Deep Learning for Audio with Python Tutorial
• course: Coursera: Automatic Speech Recognition Course
• video: YouTube: Introduction to ASR by Microsoft